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      • Montréal, Québec
      • Contract
      The Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentAdvantagesThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentResponsibilitiesThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentQualificationsThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentSummaryThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      The Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentAdvantagesThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentResponsibilitiesThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentQualificationsThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentSummaryThe Experience Analytics team is seeking a Data Analyst. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively Minimum Qualifications • Undergraduate or advanced degree in BS in Mathematics, Economics, Computer Science, Information Management or Statistics • Proven working experience as a data analyst or business data analyst • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Demonstrated ability with data analysis methods and analytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics • Experience working with statistics packages like R, Python and Pandas. Developing scripts and using tools like Hive, Java, Jenkins and Oozie • Communication Skills: You should be fluent in presenting findings, translate the data into an understandable document • You will need to write and speak clearly, easily communicating complex ideas Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Etobicoke, Ontario
      • Contract
      Our client , a leader in the education industry is looking for several contract resources for a major project initiative including a Reporting and BI Developer This will for an initial 6 month contract assignmentRole Summary The Business Intelligence Developer supports ETS in the design, development and sustainment of custom reports and analytics for Flexible Registration (Destiny One) application. This role will work closely with Enterprise Applications Solutions - BI team in the delivery of customized reports and data analytics for Flexible Registration applicationsAdvantages- Will be able to work from home until quarantine is lifted- will consider candidates from outside the province if willing to commit to working core Eastern Standard Time business hoursResponsibilitiesDuties and ResponsibilitiesGather, analyze and synthesize business requirementsCommunicate, consult and collaborate with solution providers, Enterprise Applications Solutions – BI team and other stakeholders in the process of report / data analytics developmentCoordinate a number of projects simultaneously, and maintain high technical standardsPrepare report requirements and documentation Develop report and analytics for Flexible Registration application (Destiny One)Perform unit report and analytics validationsFacilitate in the development of use cases for report and analytics business validationsTroubleshoot and resolve any reporting issuesFollow standards and industry best practice in report and analytics development Follow and advise on BI and analytics reporting trendsQualificationsQUALIFICATIONS AND EXPERIENCE NEEDED:••University or college degree or diploma in Business Analytics or equivalent •Minimum of 5 years of work experience in report development including standard/paginated reports, advanced visualizations using dashboards, scorecards and stories using a BI tool (e.g. Cognos, Tableau, power BI)•Experience with technical documentation including preparation of report specifications•Strong analytical and problem solving skills •Excellent oral and written communication skills •Excellent interpersonal skills with ability to work effectively with our clients and technical team members•Ability to translate business requirements into reports and advanced visualizations•Strong data literacy skills•Result oriented, strong track record of collaboration, driving to successful outcomesNice to Have Technical Skills •Understanding of Data warehouse and BI concepts and principles •Understanding of relational database design and metadata modeling design•Experience in working with Destiny One application•Public sector or Higher Education Experience Summary• Understanding of relational database design and metadata modeling design• Understanding of Data warehouse and BI concepts and principlesExperience with BI Tools such as Cognos, Tableau, Power BI 5-8 yearsExperience in report development using BI tools 5-8 yearsNICE TO HAVE QUALIFICATIONSOTHERExperience working with Destiny One application or other SIS system 2-3 yearsPublic sector or Higher Education Experience 2-3 yearsRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our client , a leader in the education industry is looking for several contract resources for a major project initiative including a Reporting and BI Developer This will for an initial 6 month contract assignmentRole Summary The Business Intelligence Developer supports ETS in the design, development and sustainment of custom reports and analytics for Flexible Registration (Destiny One) application. This role will work closely with Enterprise Applications Solutions - BI team in the delivery of customized reports and data analytics for Flexible Registration applicationsAdvantages- Will be able to work from home until quarantine is lifted- will consider candidates from outside the province if willing to commit to working core Eastern Standard Time business hoursResponsibilitiesDuties and ResponsibilitiesGather, analyze and synthesize business requirementsCommunicate, consult and collaborate with solution providers, Enterprise Applications Solutions – BI team and other stakeholders in the process of report / data analytics developmentCoordinate a number of projects simultaneously, and maintain high technical standardsPrepare report requirements and documentation Develop report and analytics for Flexible Registration application (Destiny One)Perform unit report and analytics validationsFacilitate in the development of use cases for report and analytics business validationsTroubleshoot and resolve any reporting issuesFollow standards and industry best practice in report and analytics development Follow and advise on BI and analytics reporting trendsQualificationsQUALIFICATIONS AND EXPERIENCE NEEDED:••University or college degree or diploma in Business Analytics or equivalent •Minimum of 5 years of work experience in report development including standard/paginated reports, advanced visualizations using dashboards, scorecards and stories using a BI tool (e.g. Cognos, Tableau, power BI)•Experience with technical documentation including preparation of report specifications•Strong analytical and problem solving skills •Excellent oral and written communication skills •Excellent interpersonal skills with ability to work effectively with our clients and technical team members•Ability to translate business requirements into reports and advanced visualizations•Strong data literacy skills•Result oriented, strong track record of collaboration, driving to successful outcomesNice to Have Technical Skills •Understanding of Data warehouse and BI concepts and principles •Understanding of relational database design and metadata modeling design•Experience in working with Destiny One application•Public sector or Higher Education Experience Summary• Understanding of relational database design and metadata modeling design• Understanding of Data warehouse and BI concepts and principlesExperience with BI Tools such as Cognos, Tableau, Power BI 5-8 yearsExperience in report development using BI tools 5-8 yearsNICE TO HAVE QUALIFICATIONSOTHERExperience working with Destiny One application or other SIS system 2-3 yearsPublic sector or Higher Education Experience 2-3 yearsRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Montréal, Québec
      • Contract
      The Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentAdvantagesThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentResponsibilitiesThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentQualificationsThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentSummaryThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      The Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentAdvantagesThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentResponsibilitiesThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentQualificationsThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentSummaryThe Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to our client’s users. We are looking for a Sherlock Holmes that can put on that data detective hat. Do you enjoy working with a diverse set of stakeholders - including product managers, designers, and researchers as well as executives from time to time? Are you an expert in machine learning with a proven track record of production grade ML models, statistical analysis, and a passion for all things data? If so, you may be the ideal candidate. Responsibilities • Work on a variety of problems that seek to better understand how customers use their products and what drives deeper adoption and usage of products• Apply your quantitative analysis, data mining and machine learning expertise to building models that make sense of user needs, usage patterns, factors that drive deeper adoption • Influence product development, strategy and roadmap prioritization • Design and implement machine learning pipelines that improve our client’s evidence-based decision-making capabilities • Tackle complex problems requiring a creative mindset to find innovative and elegant solutions Minimum Qualifications • BS/MS/PhD in the fields of: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields • 2+ years of industry experience and a passion for designing, analyzing and deploying machine learning-based solutions • Experience working with relational SQL and/or NoSQL databases • Experience working with big data platforms (Hadoop, Spark, Hive) • Fluency with one or more programing language: Python, Java, Scala, etc. • Good understanding of CS fundamentals, e.g. algorithms and data structures • Experience in statistical programming tools such as R, Matlab, SAS, etc. • Experience with data science toolkits like: pandas, Jupyter, scikit, TensorFlow, etc. • Familiarity with statistics concepts and analysis, e.g. hypothesis testing, regression, etc. • Familiarity with Machine Learning techniques, e.g. classification, clustering, regularization, optimization, dimension reduction, etc. • Ability to write good quality, well-documented, scalable code - Python preferred. Experience tools like mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus • Good communication skills and ability to explain complex topics to a nontechnical audience Preferred Qualifications • Pursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related field • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environmentRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • North York, Ontario
      • Contract
      Our Client in the Ontario Public Sector is looking for a Business Intellgence Architect with heavy experience in Power Bi and Rshiny. The role requires some requirement gathering experience. Must-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesAdvantagesWORK FROM HOMEMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesResponsibilitiesResponsibilities/DeliverablesKey deliverables to be performed by the consultants include, but are not limited to the following:•To support, influence and impact the use of analytics and strategy for analytics across the enterprise.•To help develop and support the use of the Analytics, tools, and best practices across the enterprise.•Provide consulting services to ministry business partners regarding their information consumption and analytical needs.•Participate in the creation of detailed plans and accurate estimates towards development, testing, and implementation of the project or program.•Contribute to successful project completion by identifying risks and developing/ recommending mitigation strategies.•Participate in Proof of Concept or Proof of Technology projects.•Help develop proposals and feasibility studies for small to medium projects•Conduct technology research, evaluate analytics tools and produce strategy/direction papers•Provide advice and guidance in the areas of advanced statistical modelling, econometrics tools and techniques.•Provide planning advice to the project team on the use of data and building capacity within the Ministry on performing advanced analytics and data analysis.•Provide direction on the statistical relevance of data to the project teamQualificationsMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesSummaryMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our Client in the Ontario Public Sector is looking for a Business Intellgence Architect with heavy experience in Power Bi and Rshiny. The role requires some requirement gathering experience. Must-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesAdvantagesWORK FROM HOMEMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesResponsibilitiesResponsibilities/DeliverablesKey deliverables to be performed by the consultants include, but are not limited to the following:•To support, influence and impact the use of analytics and strategy for analytics across the enterprise.•To help develop and support the use of the Analytics, tools, and best practices across the enterprise.•Provide consulting services to ministry business partners regarding their information consumption and analytical needs.•Participate in the creation of detailed plans and accurate estimates towards development, testing, and implementation of the project or program.•Contribute to successful project completion by identifying risks and developing/ recommending mitigation strategies.•Participate in Proof of Concept or Proof of Technology projects.•Help develop proposals and feasibility studies for small to medium projects•Conduct technology research, evaluate analytics tools and produce strategy/direction papers•Provide advice and guidance in the areas of advanced statistical modelling, econometrics tools and techniques.•Provide planning advice to the project team on the use of data and building capacity within the Ministry on performing advanced analytics and data analysis.•Provide direction on the statistical relevance of data to the project teamQualificationsMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesSummaryMust-haves:Demonstrated experience and knowledge with database design (SQL, Server Oracle)Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics). Some tools that would be of interest are Rshiny, Google Analytics, Tableau and Power BIDemonstrated experience with data preparation and scripting tools (such as R, OpenRefine, Python and DAX) Demonstrated experience developing data extraction, transformation, and load functionality for large relational and multidimensional data storesRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Toronto, Ontario
      • Permanent
      We are looking for a Jr/Intermediate Data Analytics Application Developer for a high-profile data analytics/management consulting firm.Key Skills include Python, C/C++, Java, HTML/CSS/JS. You don't need to have strong work experience, but a strong academic background in the field of any types of Analytics, software development, engineering, financial modelling is highly desired. Experience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.AdvantagesOpportunity to learn state-of-the-art data engineering/data analytics technologiesGREAT TEAM ENERGY! - A great workplace with collaborative talented peopleOpportunity for rapid promotionCompetitive Salary that is higher than the market rate for the same positionsResponsibilitiesResearch related programming & web-based development Data collectionETLAutomationIntegrating inputs from various back-end services Using various programming languages to analyze complex market dataFull-stack development of web-based applicationsQualificationsAn undergraduate degree in any field - any types of Analytics, software development, engineering, financial modelingExperience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.Strong communication skills (written and oral) SummaryWe are looking for a Jr/Intermediate Data Analytics Software Developer for a high-profile data analytics/management consulting firm.Key Skills include Python, C/C++, Java, HTML/CSS/JS. You don't need to have strong work experience, but a strong academic background.Experience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      We are looking for a Jr/Intermediate Data Analytics Application Developer for a high-profile data analytics/management consulting firm.Key Skills include Python, C/C++, Java, HTML/CSS/JS. You don't need to have strong work experience, but a strong academic background in the field of any types of Analytics, software development, engineering, financial modelling is highly desired. Experience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.AdvantagesOpportunity to learn state-of-the-art data engineering/data analytics technologiesGREAT TEAM ENERGY! - A great workplace with collaborative talented peopleOpportunity for rapid promotionCompetitive Salary that is higher than the market rate for the same positionsResponsibilitiesResearch related programming & web-based development Data collectionETLAutomationIntegrating inputs from various back-end services Using various programming languages to analyze complex market dataFull-stack development of web-based applicationsQualificationsAn undergraduate degree in any field - any types of Analytics, software development, engineering, financial modelingExperience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.Strong communication skills (written and oral) SummaryWe are looking for a Jr/Intermediate Data Analytics Software Developer for a high-profile data analytics/management consulting firm.Key Skills include Python, C/C++, Java, HTML/CSS/JS. You don't need to have strong work experience, but a strong academic background.Experience with Data Engineering (Automation, ETL, Data Analytics) is also a big plus.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Toronto, Ontario
      • Contract
      Our Analytics team is seeking a Data Analyst for the Insights Operations Team. You will be working our proprietary related to a data product that provides Machine learning insights to our users.  Do you consider yourself a good Detective - a Sherlock Holms if you will. If so, then this role may be right for you !AdvantagesCome work with our software. You have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. ResponsibilitiesResponsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively QualificationsExceptional verbal, written and presentation skills a must !5-8 yearsOne of; BS in Mathematics, Economics, Computer Science3-5 yearsExpert SQL super user3-5 yearsStrong analytical skills collect, organize, analyze, and disseminate 3-5 yearsanalytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics 2-3 yearsStatistics packages like R, Python and Pandas3-5 yearsAny scripting tool such as: Hive, Java, Jenkins and Oozie 3-5 yearsData mining, data analytics, big data analytics3-5 yearsSummaryDo you consider yourself a good Detective - a Sherlock Holms if you will. Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate.  Contact Sohil Jivani at sohil.jivani@randstad.caRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our Analytics team is seeking a Data Analyst for the Insights Operations Team. You will be working our proprietary related to a data product that provides Machine learning insights to our users.  Do you consider yourself a good Detective - a Sherlock Holms if you will. If so, then this role may be right for you !AdvantagesCome work with our software. You have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. ResponsibilitiesResponsibilities • Facilitate business planning by providing business insights for product usage, product adoption, customer analysis, product feature usage, and product performance / reliability analysis , persona analytics • Extensive SQL knowledge, adept at queries and joining data from primary or secondary data sources and maintain databases/data systems • High attention to detail, ability to work independently and prepare presentations that clearly communicate findings to the broader organization • Turn raw information into insights, recommendations, dashboards, and reports to provide ad-hoc reporting and analytics services and proactively support business decisions and processes • Good communication skills and an awareness of how to communicate data and results effectively QualificationsExceptional verbal, written and presentation skills a must !5-8 yearsOne of; BS in Mathematics, Economics, Computer Science3-5 yearsExpert SQL super user3-5 yearsStrong analytical skills collect, organize, analyze, and disseminate 3-5 yearsanalytics tools like Looker, Splunk, Tableau, Mixpanel, Google Analytics 2-3 yearsStatistics packages like R, Python and Pandas3-5 yearsAny scripting tool such as: Hive, Java, Jenkins and Oozie 3-5 yearsData mining, data analytics, big data analytics3-5 yearsSummaryDo you consider yourself a good Detective - a Sherlock Holms if you will. Are you an expert in business intelligence with a proven track record of analytics, statistical analysis and a passion for all things data? If so, you may be the ideal candidate.  Contact Sohil Jivani at sohil.jivani@randstad.caRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • North York, Ontario
      • Contract
      The Analytics Operation Lead is responsible for providing leadership to the Analytics operation team, ensuring the team is meeting daily reporting service level agreements and address end-users reporting inquires. Our team is growing and we need this person to Lead this team to service excellence ! AdvantagesOur team is growing and Analytics is a key focus for our firm ! Your expertise, your voice, ideas and solutions you bring will be highly welcome ! ResponsibilitiesResponsibilities,: •Identifying operational requirements and opportunities for improvement. Gathering information by observing workflows, reading reports.•Determining appropriate methods to analyze operations, relevant information, and data.•Developing new processes and procedures to enhance operations, determining the effectiveness of new processes.•Experience with Google Cloud, Big query, knowledge writing SQL queries.•Manage the day-to-day operational activities for Analytics operation team, ensuring adherence to departmental policy and procedures. QualificationsExp. w/ Google Cloud, GCP Big query and writing SQL queries 2-3 yearsExcellent communication, written and presentation skills 5-8 yearsPython a def. asset to create automation work 1-2 yearsManagement of Data Flows, Data pipeline 5-8 yearsLead experience leading small IT or Data Analytics teams 1-2 yearsExp. reporting to 'C' executives and steering committees 2-3 yearsEnterprise IT ticking systems such as Jira, Service Now or equiv 1-2 yearsComputer Science Degree or Equivalent 3-5 yearseCommerce experience an asset 1-2 yearsSummaryCome join our growing Analytics team and have a voice at the table ! Your expertise, ideas and solutions and drive will be highly welcome ! Experience candidates may apply to Dylan Harrington at dylan.harrington@randstad.ca,Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      The Analytics Operation Lead is responsible for providing leadership to the Analytics operation team, ensuring the team is meeting daily reporting service level agreements and address end-users reporting inquires. Our team is growing and we need this person to Lead this team to service excellence ! AdvantagesOur team is growing and Analytics is a key focus for our firm ! Your expertise, your voice, ideas and solutions you bring will be highly welcome ! ResponsibilitiesResponsibilities,: •Identifying operational requirements and opportunities for improvement. Gathering information by observing workflows, reading reports.•Determining appropriate methods to analyze operations, relevant information, and data.•Developing new processes and procedures to enhance operations, determining the effectiveness of new processes.•Experience with Google Cloud, Big query, knowledge writing SQL queries.•Manage the day-to-day operational activities for Analytics operation team, ensuring adherence to departmental policy and procedures. QualificationsExp. w/ Google Cloud, GCP Big query and writing SQL queries 2-3 yearsExcellent communication, written and presentation skills 5-8 yearsPython a def. asset to create automation work 1-2 yearsManagement of Data Flows, Data pipeline 5-8 yearsLead experience leading small IT or Data Analytics teams 1-2 yearsExp. reporting to 'C' executives and steering committees 2-3 yearsEnterprise IT ticking systems such as Jira, Service Now or equiv 1-2 yearsComputer Science Degree or Equivalent 3-5 yearseCommerce experience an asset 1-2 yearsSummaryCome join our growing Analytics team and have a voice at the table ! Your expertise, ideas and solutions and drive will be highly welcome ! Experience candidates may apply to Dylan Harrington at dylan.harrington@randstad.ca,Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Toronto, Ontario
      • Contract
      Are you passionate about development?We are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Who you are…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviewsWhy we need you…●You will develop web solutions for industry-leading interactive retail analytics●Participate in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderate to complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct software defectsWhat you’ll do…●Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON, SASS, Material UI●Database - Postgres, Redshift, Snowflake●Atlassian tools - Git/Bitbucket, JIRA, Confluence, BambooNice to have:●Visualization library experience - D3.js, Google Charts, Qlik Sense●Cloud deployment experience; preference for Amazon Web Services or Azure●Big Data, Data Warehousing, In-Memory Database experienceAdvantagesYou will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standardsResponsibilitiesYou will develop web solutions for industry-leading interactive retail analytics●Participate in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderate to complex software solutions in support of business requirements and following predetermined software solution design standardsQualifications●Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON, SASS, Material UI●Database - Postgres, Redshift, Snowflake●Atlassian tools - Git/Bitbucket, JIRA, Confluence, BambooSummaryWe are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Are you passionate about development?We are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Who you are…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviewsWhy we need you…●You will develop web solutions for industry-leading interactive retail analytics●Participate in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderate to complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct software defectsWhat you’ll do…●Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON, SASS, Material UI●Database - Postgres, Redshift, Snowflake●Atlassian tools - Git/Bitbucket, JIRA, Confluence, BambooNice to have:●Visualization library experience - D3.js, Google Charts, Qlik Sense●Cloud deployment experience; preference for Amazon Web Services or Azure●Big Data, Data Warehousing, In-Memory Database experienceAdvantagesYou will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standardsResponsibilitiesYou will develop web solutions for industry-leading interactive retail analytics●Participate in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderate to complex software solutions in support of business requirements and following predetermined software solution design standardsQualifications●Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON, SASS, Material UI●Database - Postgres, Redshift, Snowflake●Atlassian tools - Git/Bitbucket, JIRA, Confluence, BambooSummaryWe are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • North York, Ontario
      • Contract
      Our client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)AdvantagesOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)ResponsibilitiesOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)QualificationsOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)SummaryOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)AdvantagesOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)ResponsibilitiesOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)QualificationsOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)SummaryOur client in the Ontario Public Sector is looking for a Junior Business Anlayst who has previous hands on experience supporting Business Intelligence based Projects on a 12 month contract 2+ Years of experience eliciting requirements for technical BI projects, and developing/consulting on options and solutions, and providing effective guidance to clients,PowerBI experienceDemonstrates experience designing and implementing Analytics technologies and Business Intelligence projects (Microsoft BI technologies preferred)Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Toronto, Ontario
      • Contract
      Why work with us?Are you passionate about development?We are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Who you are…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviews●You bring positive energy to the team and thrive on strong collaboration.●Some others look to solve complex problems, bounce ideas off, and provide an alternate viewpoint.●You are self-motivated and thrive on developing solutions to open-ended business problems.●You believe in creating great user experiences through application flow and front-end design.●Have 4-10 years of developing end to end web solutions●Have a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or another related disciplineWhy we need you…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviewsWhat you’ll do…●Develop in Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON●Bootstrap, LESS, SASS●Database - Postgres, RedshiftAtlassian tools - Git/Bitbucket, JIRA, Confluence, BambooNice to have:●Visualization library experience - D3.js, Google Charts, Qlik Sense●Cloud deployment experience; preference for Amazon Web Services stack●Big Data, Data Warehousing, In-Memory Database experienceAdvantagesYou will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standardsResponsibilitiesDevelop in Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON●Bootstrap, LESS, SASS●Database - Postgres, RedshiftAtlassian tools - Git/Bitbucket, JIRA, Confluence, BambooQualificationsHave 4-10 years of developing end to end web solutionsHave a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or another related disciplineSummaryWe are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Why work with us?Are you passionate about development?We are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Who you are…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviews●You bring positive energy to the team and thrive on strong collaboration.●Some others look to solve complex problems, bounce ideas off, and provide an alternate viewpoint.●You are self-motivated and thrive on developing solutions to open-ended business problems.●You believe in creating great user experiences through application flow and front-end design.●Have 4-10 years of developing end to end web solutions●Have a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or another related disciplineWhy we need you…●You will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standards●You are confident participating in an agile environment on design, development, testing and implementation of web solution components and modules●Troubleshoot and correct complex software defects●Participate in peer code reviewsWhat you’ll do…●Develop in Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON●Bootstrap, LESS, SASS●Database - Postgres, RedshiftAtlassian tools - Git/Bitbucket, JIRA, Confluence, BambooNice to have:●Visualization library experience - D3.js, Google Charts, Qlik Sense●Cloud deployment experience; preference for Amazon Web Services stack●Big Data, Data Warehousing, In-Memory Database experienceAdvantagesYou will develop web solutions for industry-leading interactive retail analytics, with opportunities for leadership on some projects●Participate and begin to lead in defining backlog and requirements clarification for various technology projects●Help us to research and take advantage of new technology to improve and expand solutions●Leverage your previous experience to develop moderately to highly complex software solutions in support of business requirements and following predetermined software solution design standardsResponsibilitiesDevelop in Java and corresponding development frameworks such as Spring●Angular - JavaScript, TypeScript, Node●Work with HTML5, CSS3, JSON●Bootstrap, LESS, SASS●Database - Postgres, RedshiftAtlassian tools - Git/Bitbucket, JIRA, Confluence, BambooQualificationsHave 4-10 years of developing end to end web solutionsHave a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or another related disciplineSummaryWe are looking for a passionate developer who will help us build the future for our embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • North York, Ontario
      • Contract
      Our Client in the Ontario Public Sector is looking for a Senior Business Anlyast who has experience supporitng Business Intelligence projects. The role is a 12 month contract. Must-haves:•Post-secondary administrative data experience•10+ Years of Business Analysis experience•Demonstrated experience and knowledge with database design (SQL, Server Oracle)•Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actorsTitleBusiness Analyst - SeniorDescriptionResponsibilities/assignment deliverablesThe Business Analyst must have a minimum of 10+ years of the following skills and experience:•Provides a comprehensive range of I&IT business analysis services for clients with diverse business and technological needs.•Interacts with the business stakeholders and subject matter experts in order to understand their requirements through gathering, documenting, and analyzing business needs and requirements.•Prepares and advises on business analysis policies, processes, best practices and standards to promote a comprehensive and consistent business analysis practice within the organization.•Leads and conducts business analysis in order to assess client’s business problems/opportunities and documents the business requirements in such a way that I&IT solutions can be determined•Demonstrated experience in requirements gathering, developing documentation, including presentations and briefing notes and conducting stakeholder engagement.• Demonstrated project management experience that required working with or and leading small teams tasked to deliver ad-hoc solutions in the short-term timeframe.•Excellent communication skills, both written and oral and able to communication to both technical and non-technical audiences•Demonstrated ability to recognize key organizational weakness related to data governance and information management and develop policies and guidelines that can change.•Demonstrated experience in using deterministic or probabilistic data matching methods to support longitudinal data analysis.•Demonstrated experience in the creation and development of data visualizations used to convey complex statistical analysis.•Must be able to communicate the results of complex analysis using a variety of visual methods, suitable for senior decision makers.•Demonstrated experience in developing or enhancing organizational business and technical processes to enable longitudinal data analysis.SkillsExperience and Skill Set RequirementsCore Skills 45% • 10+ years experience with Business Analysis• Demonstrated experience in the development of organizational data strategies and roadmaps•Demonstrated experience with design, development, and implementation utilizing analytics utilizing post-secondary administrative data assets.•Demonstrates experience in the execution of digital product development processes which adhere to Ontario Digital Service standards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actors• Demonstrated experience working with and analyzing large and diverse data sets, identifying relationships and themes.• Demonstrated experience with the creating of detailed plans and accurate estimates toward development, testing, and implementation of project/programs• Demonstrated experience reporting and documenting•Demonstrated experience with data management, financial and business analysis, database architecture, and information visualization•Demonstrated experience with statistical analysis and modelling, data mining, machine learning and algorithmsOther Technical Skills - 25%•Demonstrated experience and knowledge with database design (SQL, Server Oracle)• Demonstrated experience developing BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated experience developing data extraction, transformation, and load (ETL) functionality for large relational and multi-dimensional data stores•Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics) as well as website and SharePoint integrationCommunication Skills - 20%•Experience analyzing requirements in order to determine functional and system requirements; able to take concepts and lead initiatives from end to end• Experience in documenting system design and producing technical specifications and architectural artefacts•Experience working and communicating directly with business stakeholders; being able to provide guidance and advice to ensure the successful delivery of projects within the required timelines.•Demonstrated ability to produce communications products which adhere to Accessibility standards (e.g. AODA)•Strong understanding of challenges and issues that arise in government projects which arise with respect to data and demonstrated ability to drive consensus amongst stakeholders that can support centralized data access and analytic tools for Ministry and sector partners;•Demonstrated analytical problem solving and decision-making capabilities;•Experience in dealing with multiple teams representing various areas in delivering the project;•Excellent verbal and written communication and presentation skills;•Demonstrated capacity to work collaboratively with client organizations;•A team player with a track record for meeting strict deadlines; and•Knowledge of industry methodologies, best practices, and standards;Public Sector - 10%· Previous public sector experience in an organization of equivalent size and complexity to Ontario Public Service.· Demonstrates experience designing and developing applications that comply with GO-ITS standards would be an asset· Strong understanding of challenges and issues that ministry may have with respect to dataSupplier CommentsRequisition TitleRFS-RAU-4418 - IMBD Analytics - Business Analyst-SeniorDescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.AdvantagesWork From HomeLong Term ContractOntario Public Sector Client. DescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.ResponsibilitiesResponsibilities/assignment deliverablesThe Business Analyst must have a minimum of 10+ years of the following skills and experience:•Provides a comprehensive range of I&IT business analysis services for clients with diverse business and technological needs.•Interacts with the business stakeholders and subject matter experts in order to understand their requirements through gathering, documenting, and analyzing business needs and requirements.•Prepares and advises on business analysis policies, processes, best practices and standards to promote a comprehensive and consistent business analysis practice within the organization.•Leads and conducts business analysis in order to assess client’s business problems/opportunities and documents the business requirements in such a way that I&IT solutions can be determined•Demonstrated experience in requirements gathering, developing documentation, including presentations and briefing notes and conducting stakeholder engagement.• Demonstrated project management experience that required working with or and leading small teams tasked to deliver ad-hoc solutions in the short-term timeframe.•Excellent communication skills, both written and oral and able to communication to both technical and non-technical audiences•Demonstrated ability to recognize key organizational weakness related to data governance and information management and develop policies and guidelines that can change.•Demonstrated experience in using deterministic or probabilistic data matching methods to support longitudinal data analysis.•Demonstrated experience in the creation and development of data visualizations used to convey complex statistical analysis.•Must be able to communicate the results of complex analysis using a variety of visual methods, suitable for senior decision makers.•Demonstrated experience in developing or enhancing organizational business and technical processes to enable longitudinal data analysis.QualificationsMust-haves:•Post-secondary administrative data experience•10+ Years of Business Analysis experience•Demonstrated experience and knowledge with database design (SQL, Server Oracle)•Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actorsSummaryDescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our Client in the Ontario Public Sector is looking for a Senior Business Anlyast who has experience supporitng Business Intelligence projects. The role is a 12 month contract. Must-haves:•Post-secondary administrative data experience•10+ Years of Business Analysis experience•Demonstrated experience and knowledge with database design (SQL, Server Oracle)•Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actorsTitleBusiness Analyst - SeniorDescriptionResponsibilities/assignment deliverablesThe Business Analyst must have a minimum of 10+ years of the following skills and experience:•Provides a comprehensive range of I&IT business analysis services for clients with diverse business and technological needs.•Interacts with the business stakeholders and subject matter experts in order to understand their requirements through gathering, documenting, and analyzing business needs and requirements.•Prepares and advises on business analysis policies, processes, best practices and standards to promote a comprehensive and consistent business analysis practice within the organization.•Leads and conducts business analysis in order to assess client’s business problems/opportunities and documents the business requirements in such a way that I&IT solutions can be determined•Demonstrated experience in requirements gathering, developing documentation, including presentations and briefing notes and conducting stakeholder engagement.• Demonstrated project management experience that required working with or and leading small teams tasked to deliver ad-hoc solutions in the short-term timeframe.•Excellent communication skills, both written and oral and able to communication to both technical and non-technical audiences•Demonstrated ability to recognize key organizational weakness related to data governance and information management and develop policies and guidelines that can change.•Demonstrated experience in using deterministic or probabilistic data matching methods to support longitudinal data analysis.•Demonstrated experience in the creation and development of data visualizations used to convey complex statistical analysis.•Must be able to communicate the results of complex analysis using a variety of visual methods, suitable for senior decision makers.•Demonstrated experience in developing or enhancing organizational business and technical processes to enable longitudinal data analysis.SkillsExperience and Skill Set RequirementsCore Skills 45% • 10+ years experience with Business Analysis• Demonstrated experience in the development of organizational data strategies and roadmaps•Demonstrated experience with design, development, and implementation utilizing analytics utilizing post-secondary administrative data assets.•Demonstrates experience in the execution of digital product development processes which adhere to Ontario Digital Service standards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actors• Demonstrated experience working with and analyzing large and diverse data sets, identifying relationships and themes.• Demonstrated experience with the creating of detailed plans and accurate estimates toward development, testing, and implementation of project/programs• Demonstrated experience reporting and documenting•Demonstrated experience with data management, financial and business analysis, database architecture, and information visualization•Demonstrated experience with statistical analysis and modelling, data mining, machine learning and algorithmsOther Technical Skills - 25%•Demonstrated experience and knowledge with database design (SQL, Server Oracle)• Demonstrated experience developing BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated experience developing data extraction, transformation, and load (ETL) functionality for large relational and multi-dimensional data stores•Working knowledge of advanced data visualization tools and techniques (statistical graphics, plots, information graphics) as well as website and SharePoint integrationCommunication Skills - 20%•Experience analyzing requirements in order to determine functional and system requirements; able to take concepts and lead initiatives from end to end• Experience in documenting system design and producing technical specifications and architectural artefacts•Experience working and communicating directly with business stakeholders; being able to provide guidance and advice to ensure the successful delivery of projects within the required timelines.•Demonstrated ability to produce communications products which adhere to Accessibility standards (e.g. AODA)•Strong understanding of challenges and issues that arise in government projects which arise with respect to data and demonstrated ability to drive consensus amongst stakeholders that can support centralized data access and analytic tools for Ministry and sector partners;•Demonstrated analytical problem solving and decision-making capabilities;•Experience in dealing with multiple teams representing various areas in delivering the project;•Excellent verbal and written communication and presentation skills;•Demonstrated capacity to work collaboratively with client organizations;•A team player with a track record for meeting strict deadlines; and•Knowledge of industry methodologies, best practices, and standards;Public Sector - 10%· Previous public sector experience in an organization of equivalent size and complexity to Ontario Public Service.· Demonstrates experience designing and developing applications that comply with GO-ITS standards would be an asset· Strong understanding of challenges and issues that ministry may have with respect to dataSupplier CommentsRequisition TitleRFS-RAU-4418 - IMBD Analytics - Business Analyst-SeniorDescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.AdvantagesWork From HomeLong Term ContractOntario Public Sector Client. DescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.ResponsibilitiesResponsibilities/assignment deliverablesThe Business Analyst must have a minimum of 10+ years of the following skills and experience:•Provides a comprehensive range of I&IT business analysis services for clients with diverse business and technological needs.•Interacts with the business stakeholders and subject matter experts in order to understand their requirements through gathering, documenting, and analyzing business needs and requirements.•Prepares and advises on business analysis policies, processes, best practices and standards to promote a comprehensive and consistent business analysis practice within the organization.•Leads and conducts business analysis in order to assess client’s business problems/opportunities and documents the business requirements in such a way that I&IT solutions can be determined•Demonstrated experience in requirements gathering, developing documentation, including presentations and briefing notes and conducting stakeholder engagement.• Demonstrated project management experience that required working with or and leading small teams tasked to deliver ad-hoc solutions in the short-term timeframe.•Excellent communication skills, both written and oral and able to communication to both technical and non-technical audiences•Demonstrated ability to recognize key organizational weakness related to data governance and information management and develop policies and guidelines that can change.•Demonstrated experience in using deterministic or probabilistic data matching methods to support longitudinal data analysis.•Demonstrated experience in the creation and development of data visualizations used to convey complex statistical analysis.•Must be able to communicate the results of complex analysis using a variety of visual methods, suitable for senior decision makers.•Demonstrated experience in developing or enhancing organizational business and technical processes to enable longitudinal data analysis.QualificationsMust-haves:•Post-secondary administrative data experience•10+ Years of Business Analysis experience•Demonstrated experience and knowledge with database design (SQL, Server Oracle)•Demonstrated experience developing Power BI and analytics roadmaps (e.g. Microsoft BI)•Demonstrated experience with statistics and analytical tools; building models, dashboards and development of data visualizations to convey complex statistical analysis using tools like Power BI and R-shiny•Demonstrated experience with data warehousing and dashboards•Demonstrated knowledge and ability to apply data de-identification methodologies to linked client level data sets that ensure that client level data sets meet or exceed privacy protection standards when information is shared in aggregate form with public or semi-public actorsSummaryDescriptionThe role will be required to work with business clients to refine project requirements, conduct stakeholder engagements, research data management and data governance best practices, analyze different data holdings from various sources using business intelligence and analytics tools/systems such as Cognos, Microsoft BI and other analytic tools. The role may also involve deeper data analytics such as statistical modelling, data mining and econometrics for the purposes of developing, refining and testing hypotheses and predictive models, particularly in the subject areas of student success and labour force market demand. The role will work under the direction of the DSEU manager and will engage directly with business clients.The role will also involve the linking and analysis of depersonalized student level data collected from across the Learning Ministry program areas to help the Learning Ministries answer a range of program and policy related analysis questions in order to better understand learning pathways and student success.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • North York, Ontario
      • Contract
      We have an immediate need for a Junior / Intermediate Scrum Master ! The successful candidate has overseen 2-3 Analytics Development Teams while ensuring each team meets their objects and product delivery timelines. The successful candidate comes from a truly Agile framework and experience managing multiple resources on each team. You are tech-savvy; enough to help drive delivery of multiple ongoing projects and offer solutions when a tech problem arisesAdvantagesCome join our growing Analytics team within a Large Enterprise environment. and make a difference ! You will have an opportunity to grow with this team and have a voice at the table. !ResponsibilitiesResponsibilities:•Set up and facilitate iteration planning, daily scrum, demo, and retrospective meetings.•Identify risks and issues and take ownership of issue resolution•Facilitating discussion, decision making and conflict resolution.•Lead and facilitate Scrum of Scrums.•Work with Business Product Owner(s) and IT Delivery Manager(s) to ensure continuous delivery of a working solution that provides the highest value for the business every sprint.•Observe and understand factors that impact team performance and velocity with the goal of continuously improving and applying learnings to future sprints•Support and facilitate interaction with key members from other IT Teams such as Change Management, Infrastructure, Security, Architecture, DBAs, and Offshore Support Team Members•Guiding and Coaching the Scrum Team on how to use Agile/Scrum practices and values to delight customers.•Present project status reporting to senior management using techniques like burn-up, Burn-down, velocity charts or any other technique.•Strive to keep your Team(s) motivated and engaged by providing servant leadership consistent with THD Orange Values as well as encouraging open and honest communication and feedback.QualificationsSkills Required:•2+ years of Agile Scrum experience at Scrum Master capacity. •3+ years of experience with business intelligence, analytics, data modeling, and Big Data concepts in retail or related domains.•A decent understanding of Cloud Technologies.•Experience with project delivery for large, cross-functional projects with large-scale systems of world-class availability, scalability, and performance requirements.•Experience operating autonomously across multiple teams, demonstrated critical thinking and thought leadership.•Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.•Excellent communication skills - verbal, oral & presentation. Project, product, or technical leadership experience in software development environment •Experience working in a fast-paced environment with regularly changing priorities•Experience facilitating collaborative group workshops and problem-solving sessions•Ability to work effectively with and influence Business Stakeholders, Vendors and Partners•Experience using Agile Planning Tools (JIRA, Confluence, Kanban Boards) •Ability to work collaboratively with multiple distributed, cross-functional teams •Experience with Agile concepts such as User Experience, Design Thinking, Kanban, Extreme Programming and Scaled Agile for Enterprises is preferred. •Experience with SAP is preferred. SummaryCome join our growing Analytics team within a Large Enterprise environment. and make a difference ! If you feel you are suitable for this role, please apply to this role and Joanne.Esodo@randstad.caRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      We have an immediate need for a Junior / Intermediate Scrum Master ! The successful candidate has overseen 2-3 Analytics Development Teams while ensuring each team meets their objects and product delivery timelines. The successful candidate comes from a truly Agile framework and experience managing multiple resources on each team. You are tech-savvy; enough to help drive delivery of multiple ongoing projects and offer solutions when a tech problem arisesAdvantagesCome join our growing Analytics team within a Large Enterprise environment. and make a difference ! You will have an opportunity to grow with this team and have a voice at the table. !ResponsibilitiesResponsibilities:•Set up and facilitate iteration planning, daily scrum, demo, and retrospective meetings.•Identify risks and issues and take ownership of issue resolution•Facilitating discussion, decision making and conflict resolution.•Lead and facilitate Scrum of Scrums.•Work with Business Product Owner(s) and IT Delivery Manager(s) to ensure continuous delivery of a working solution that provides the highest value for the business every sprint.•Observe and understand factors that impact team performance and velocity with the goal of continuously improving and applying learnings to future sprints•Support and facilitate interaction with key members from other IT Teams such as Change Management, Infrastructure, Security, Architecture, DBAs, and Offshore Support Team Members•Guiding and Coaching the Scrum Team on how to use Agile/Scrum practices and values to delight customers.•Present project status reporting to senior management using techniques like burn-up, Burn-down, velocity charts or any other technique.•Strive to keep your Team(s) motivated and engaged by providing servant leadership consistent with THD Orange Values as well as encouraging open and honest communication and feedback.QualificationsSkills Required:•2+ years of Agile Scrum experience at Scrum Master capacity. •3+ years of experience with business intelligence, analytics, data modeling, and Big Data concepts in retail or related domains.•A decent understanding of Cloud Technologies.•Experience with project delivery for large, cross-functional projects with large-scale systems of world-class availability, scalability, and performance requirements.•Experience operating autonomously across multiple teams, demonstrated critical thinking and thought leadership.•Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.•Excellent communication skills - verbal, oral & presentation. Project, product, or technical leadership experience in software development environment •Experience working in a fast-paced environment with regularly changing priorities•Experience facilitating collaborative group workshops and problem-solving sessions•Ability to work effectively with and influence Business Stakeholders, Vendors and Partners•Experience using Agile Planning Tools (JIRA, Confluence, Kanban Boards) •Ability to work collaboratively with multiple distributed, cross-functional teams •Experience with Agile concepts such as User Experience, Design Thinking, Kanban, Extreme Programming and Scaled Agile for Enterprises is preferred. •Experience with SAP is preferred. SummaryCome join our growing Analytics team within a Large Enterprise environment. and make a difference ! If you feel you are suitable for this role, please apply to this role and Joanne.Esodo@randstad.caRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Montréal, Québec
      • Contract
      Main Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcAdvantagesMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcResponsibilitiesMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcQualificationsMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcSummaryMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Main Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcAdvantagesMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcResponsibilitiesMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcQualificationsMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcSummaryMain Job Tasks, Duties and Responsibilities • Evaluating system performance and design, as well as its effect on data quality. • Running data queries to identify design and coding issues and data exceptions, as well as cleaning data. • Execute quality improvement testing and activities • Perform UAT for releases • Interpret and implement quality assurance standards and procedures Key Competencies • Sharp attention to detail • Strong analytical and problem-solving skills • Demonstrated knowledge of testing best practices, version control practices and defect management practices Required Skills: • Proficient with SQL • Working knowledge of Python • Experience working large scale data systems • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience working in an Agile/Scrum development process • Experience in writing clear, concise and comprehensive test plans and test cases Preferred Qualifications • 3 years of experience in data mining, data analytics, big data analytics or equivalent position • Self-starter: Can take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea / problem • Desire to learn in a fast-paced environment • Experience with automated testing software like Katalon Studio, Selenium, TestComplete, JMeter etcRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Montréal, Québec
      • Contract
      Our client is looking for an IT Security Analyst, long term contract in Montreal.- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rules Required:- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. TECHNICAL SKILLS- Knowledge of SIEM products (e.g. RSA Analytics and RSA NetWitness)- Knowledge of network security products (SourceFire IDS/IPS; Cisco, Firewall,Proxies ..)- Good knowledge of network basics ( OSI, NAT, …)- Knowledge of network packets analysis (Wireshark, TcpDump, …)-2/5+ years in IT infrastructures security ideally in a SOC; specifically in the management of IT infrastructures security events / incidents and the management of SIEM platforms (preferably in a SOC team)- Bilingual AdvantagesLong term contract, 40 hours a week, large banking environment, Montreal based. Lots of opportunities to evolve within the organizationResponsibilities- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rulesQualifications- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. SummaryOur client is looking for an IT Security Analyst, long term contract in Montreal.- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rules Required:- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. TECHNICAL SKILLS- Knowledge of SIEM products (e.g. RSA Analytics and RSA NetWitness)- Knowledge of network security products (SourceFire IDS/IPS; Cisco, Firewall,Proxies ..)- Good knowledge of network basics ( OSI, NAT, …)- Knowledge of network packets analysis (Wireshark, TcpDump, …)-2/5+ years in IT infrastructures security ideally in a SOC; specifically in the management of IT infrastructures security events / incidents and the management of SIEM platforms (preferably in a SOC team)- BilingualRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our client is looking for an IT Security Analyst, long term contract in Montreal.- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rules Required:- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. TECHNICAL SKILLS- Knowledge of SIEM products (e.g. RSA Analytics and RSA NetWitness)- Knowledge of network security products (SourceFire IDS/IPS; Cisco, Firewall,Proxies ..)- Good knowledge of network basics ( OSI, NAT, …)- Knowledge of network packets analysis (Wireshark, TcpDump, …)-2/5+ years in IT infrastructures security ideally in a SOC; specifically in the management of IT infrastructures security events / incidents and the management of SIEM platforms (preferably in a SOC team)- Bilingual AdvantagesLong term contract, 40 hours a week, large banking environment, Montreal based. Lots of opportunities to evolve within the organizationResponsibilities- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rulesQualifications- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. SummaryOur client is looking for an IT Security Analyst, long term contract in Montreal.- Management of IT infrastructures security events / incidents- Monitoring of IT security events; specifically alerts triggered (alerts on the following area: IDS; AV - Virus infections, intrusions);- Events / alerts analysis in order to identify false and true positives- Design and implementation of IT infrastructures security incidents operational procedures- Produce weekly and monthly dashboard on the SOC IT security / incidents activity- Management of SOC tools; specifically the SIEM platform (RSA Security Analytics and NetWitness)- Daily management and monitoring of the platform ( to ensure that security events are collected and processed properly)- Development / customization / maintenance of correlation rules Required:- Experience in the management of IT infrastructures security events / incidentsIS Security (knowledge of IT security principles, best practices, tools that are used in securing IT resources) and related risks- Good MS Office (Word, PowerPoint, Visio, Excel) skills;- Client Focus- Ability to communicate clearly with technical teams and with non technical stakeholders. TECHNICAL SKILLS- Knowledge of SIEM products (e.g. RSA Analytics and RSA NetWitness)- Knowledge of network security products (SourceFire IDS/IPS; Cisco, Firewall,Proxies ..)- Good knowledge of network basics ( OSI, NAT, …)- Knowledge of network packets analysis (Wireshark, TcpDump, …)-2/5+ years in IT infrastructures security ideally in a SOC; specifically in the management of IT infrastructures security events / incidents and the management of SIEM platforms (preferably in a SOC team)- BilingualRandstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Mississauga, Ontario
      • Permanent
      Our retail industry client is looking for 2 Data Engineers to join their team on a permanent hire basis.You will be part of our innovation hub located in downtown Toronto where your desire for impact will only be matched by your innate ability to collaborate with other like minded individuals to come up with creative solutions to our retail data science problemsJob Description•Maintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.•Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.•Working with Analytics and Product Management to ensure optimal data design and efficiency.•Assisting Data Analysts and Data Scientists with pipeline and model deployment•Use an analytical, data-driven approach to drive a deep understanding of our fast changing business.•Building data models to deliver insightful analytics while ensuring the highest standard in data integrity..Advantages- work from home initially until quarantine is lifted- be part of a new department working on high profile projects ResponsibilitiesJob Description•Maintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.•Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.•Working with Analytics and Product Management to ensure optimal data design and efficiency.•Assisting Data Analysts and Data Scientists with pipeline and model deployment•Use an analytical, data-driven approach to drive a deep understanding of our fast changing business.•Building data models to deliver insightful analytics while ensuring the highest standard in data integrity.QualificationsJob Requirements•Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance or related quantitative field, or equivalent practical experience.•Experience and proficiency with SQL and SQL-like languages•More than 3 years of software engineering experience, especially working on back-end data infrastructure.•Proficiency with at least one of the following languages: Java, Python, Scala.•Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system.•Ability to creatively solve problems in a fast paced, rapidly changing environment•Ability to navigate ambiguity, drive solutions forward and bring stakeholders along.•Strong problem solving, analytical skills and capability of managing multiple projects and reporting simultaneously across different stakeholders.•Strong structured thinking and the ability to easily break down complex ambiguous problems and propose impactful data modeling designs.Summary- minimum 3 years software engineering especially working with back-end data infrastructure•Proficiency with at least one of the following languages: Java, Python, Scala •Experience and proficiency with SQL and SQL-like languages•Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Our retail industry client is looking for 2 Data Engineers to join their team on a permanent hire basis.You will be part of our innovation hub located in downtown Toronto where your desire for impact will only be matched by your innate ability to collaborate with other like minded individuals to come up with creative solutions to our retail data science problemsJob Description•Maintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.•Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.•Working with Analytics and Product Management to ensure optimal data design and efficiency.•Assisting Data Analysts and Data Scientists with pipeline and model deployment•Use an analytical, data-driven approach to drive a deep understanding of our fast changing business.•Building data models to deliver insightful analytics while ensuring the highest standard in data integrity..Advantages- work from home initially until quarantine is lifted- be part of a new department working on high profile projects ResponsibilitiesJob Description•Maintaining, streamlining and hardening existing data pipelines, from ingestion, through ETL and batch processing in order to reliably process billions of records per day.•Build data support for our personalization and experimentation efforts, solving problems from statistical test automation to building real-time M/L applications.•Working with Analytics and Product Management to ensure optimal data design and efficiency.•Assisting Data Analysts and Data Scientists with pipeline and model deployment•Use an analytical, data-driven approach to drive a deep understanding of our fast changing business.•Building data models to deliver insightful analytics while ensuring the highest standard in data integrity.QualificationsJob Requirements•Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance or related quantitative field, or equivalent practical experience.•Experience and proficiency with SQL and SQL-like languages•More than 3 years of software engineering experience, especially working on back-end data infrastructure.•Proficiency with at least one of the following languages: Java, Python, Scala.•Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system.•Ability to creatively solve problems in a fast paced, rapidly changing environment•Ability to navigate ambiguity, drive solutions forward and bring stakeholders along.•Strong problem solving, analytical skills and capability of managing multiple projects and reporting simultaneously across different stakeholders.•Strong structured thinking and the ability to easily break down complex ambiguous problems and propose impactful data modeling designs.Summary- minimum 3 years software engineering especially working with back-end data infrastructure•Proficiency with at least one of the following languages: Java, Python, Scala •Experience and proficiency with SQL and SQL-like languages•Proficiency with Spark and/or similar tools in Hadoop/YARN environment and comfortable with Linux operating system.Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Verdun, Québec
      • Contract
      What about everyday life?- Participate in the design and development of structured and unstructured data acquisition solutions- Participate in the development and operationalization of advanced analytical platforms- Develop and test structured and unstructured data ingestion processes- Communicate and popularize complex technical concepts to users of analytical platforms- Work in an agile / iterative contextQualifications:- Experience in enterprise level software development and technology platform integration in critical business processes- Experience in operationalizing advanced analytics platforms with high availability requirements- Experience in advanced analytics- Advanced command of several programming languages, preferably Python, Java and C ++- Experience in developing ingestion scripts and processing big data for data valuation purposes- Experience with a variety of learning algorithms- Knowledge of tools such as Spark, Hadoop, Kafka, Shell; Devops, micro-services and APIs.Advantages______________________________________________________________________________Responsibilities______________________________________________________________________________Qualifications______________________________________________________________________________Summary______________________________________________________________________________Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      What about everyday life?- Participate in the design and development of structured and unstructured data acquisition solutions- Participate in the development and operationalization of advanced analytical platforms- Develop and test structured and unstructured data ingestion processes- Communicate and popularize complex technical concepts to users of analytical platforms- Work in an agile / iterative contextQualifications:- Experience in enterprise level software development and technology platform integration in critical business processes- Experience in operationalizing advanced analytics platforms with high availability requirements- Experience in advanced analytics- Advanced command of several programming languages, preferably Python, Java and C ++- Experience in developing ingestion scripts and processing big data for data valuation purposes- Experience with a variety of learning algorithms- Knowledge of tools such as Spark, Hadoop, Kafka, Shell; Devops, micro-services and APIs.Advantages______________________________________________________________________________Responsibilities______________________________________________________________________________Qualifications______________________________________________________________________________Summary______________________________________________________________________________Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Verdun, Québec
      • Contract
      About the role:• Do you have a solid experience in Big Data and would like to exploit it by designing innovative and innovative solutions?• Do you want to influence the Bank's IT strategies and orientations?• Do you want to use your expertise to build the digital bank of tomorrow?The IT - Advanced Analytics Ecosystem team is looking for a Big Data Solutions Architect to join a project at the heart of our data strategy. We need someone who is creative in designing analytical solutions, able to deliver concrete results while meeting commitments, and able to collaborate with pleasure and efficiency in multidisciplinary teams.Working within an architectural team means being at the center of the Bank's transformation and playing a key role in the design of secure and forward-thinking solutions.More details on responsibilities:• In collaboration with domain architecture, development teams and operations, design and implement complex big data solutions.• Define big data and analytics strategy using relevant technologies and analytics industry trends.• Lead the implementation of the strategy defined in the design and architecture of the components of the customer analytical platform using Cloud infrastructures (Azure, AWS) as well as several software components required by data scientists.• Lead the design of reference architecture models for the integration of structured and unstructured data• Define technical evaluation criteria for the selection of products and technologies and to determine the technical approaches to be favored for the solutions to be successful, within a design of coherent systems.• Participate and execute proof-of-concept exercises for the adoption of new big data management technologies, software engineering tools and new models within current structures.• Use its influence to recommend methods to improve the reliability, efficiency and quality of data.• Follow the implementation of solutions until their deliveries while ensuring compliance with established architectures (corporate architecture).What you are offering:• Completed Bachelor's degree, related to the industry, and 10 years of relevant experience or Completed Master's degree, related to the industry and 7 years of relevant experience• Experience and knowledge of Azure cloud, AWS.• Experience in establishing architectures related to data security, firewalls, encryption, identity and access management (IAM), networks, compliance (SOX / HIPPA / PII) and protection Datas• Hands-on experience with several big data tools (Spark, Kafka, Snowflake, Databricks, Qlik)• Experience in designing data pipelines and automating big data platform applications / services using Python, PySpark, SQL and Javascript; and in their automation through development and operations processes and tools (DevOps)• Experience with Git, Ansible, Terraform, Jenkins in mission critical production environments desirable.• Excellent knowledge of container management practices and tools (Docker, Kubernetes).• Excellent knowledge of architecture design, data modeling and implementation of big data platform architectures and analytical applications.• Knowledge of and experience with advanced analytical capabilities, including machine learning using supervised and unsupervised techniquesAdvantages________________________________________________________________________________Responsibilities________________________________________________________________________________Qualifications________________________________________________________________________________Summary________________________________________________________________________________Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      About the role:• Do you have a solid experience in Big Data and would like to exploit it by designing innovative and innovative solutions?• Do you want to influence the Bank's IT strategies and orientations?• Do you want to use your expertise to build the digital bank of tomorrow?The IT - Advanced Analytics Ecosystem team is looking for a Big Data Solutions Architect to join a project at the heart of our data strategy. We need someone who is creative in designing analytical solutions, able to deliver concrete results while meeting commitments, and able to collaborate with pleasure and efficiency in multidisciplinary teams.Working within an architectural team means being at the center of the Bank's transformation and playing a key role in the design of secure and forward-thinking solutions.More details on responsibilities:• In collaboration with domain architecture, development teams and operations, design and implement complex big data solutions.• Define big data and analytics strategy using relevant technologies and analytics industry trends.• Lead the implementation of the strategy defined in the design and architecture of the components of the customer analytical platform using Cloud infrastructures (Azure, AWS) as well as several software components required by data scientists.• Lead the design of reference architecture models for the integration of structured and unstructured data• Define technical evaluation criteria for the selection of products and technologies and to determine the technical approaches to be favored for the solutions to be successful, within a design of coherent systems.• Participate and execute proof-of-concept exercises for the adoption of new big data management technologies, software engineering tools and new models within current structures.• Use its influence to recommend methods to improve the reliability, efficiency and quality of data.• Follow the implementation of solutions until their deliveries while ensuring compliance with established architectures (corporate architecture).What you are offering:• Completed Bachelor's degree, related to the industry, and 10 years of relevant experience or Completed Master's degree, related to the industry and 7 years of relevant experience• Experience and knowledge of Azure cloud, AWS.• Experience in establishing architectures related to data security, firewalls, encryption, identity and access management (IAM), networks, compliance (SOX / HIPPA / PII) and protection Datas• Hands-on experience with several big data tools (Spark, Kafka, Snowflake, Databricks, Qlik)• Experience in designing data pipelines and automating big data platform applications / services using Python, PySpark, SQL and Javascript; and in their automation through development and operations processes and tools (DevOps)• Experience with Git, Ansible, Terraform, Jenkins in mission critical production environments desirable.• Excellent knowledge of container management practices and tools (Docker, Kubernetes).• Excellent knowledge of architecture design, data modeling and implementation of big data platform architectures and analytical applications.• Knowledge of and experience with advanced analytical capabilities, including machine learning using supervised and unsupervised techniquesAdvantages________________________________________________________________________________Responsibilities________________________________________________________________________________Qualifications________________________________________________________________________________Summary________________________________________________________________________________Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      • Toronto, Ontario
      • Contract
      Are you passionate about development?We are looking for a passionate data engineer who will help us build the future for embedded analytics platform. This is a highly technical position in an exciting new development area we will be introducing into our retail analytics business platform. We are looking for you to help implement our web platform. You will be a key team player and an integral part of our excellent team.Supported by a solid understanding of business, software architecture, software engineering and industry best practices, as well as strong hands-on technical skills – the Data Engineer is accountable to provide expert technical advice and recommend solutions to the development resources in the planning, strategizing, and the execution of high profile and complex data processing initiatives. Who you are…●You bring positive energy to the team and thrive on strong collaboration.●Some others look to solve complex problems, bounce ideas off, and provide an alternate viewpoint.●You are self-motivated and thrive on developing solutions to open-ended business problems.●Have 5+ years of experience leading complex data architecture projects●Have a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or other related disciplinesWhy we need you…●Lead the design, development and implementation of new and existing complex data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster ●Provide technical expertise and recommend data integration and management solutions to a diverse group of data analysts and data scientists as they develop best-in-class analytics solutions●Provide expert advice to development resources in reviewing and understanding the design and architecture of the technical solution of a specific project●Reviews and approves specialized work products produced by the developer(s) ●Work alongside the Technology team to put data processing solutions into the production environment●Sets standards and champions the agile process.What you’ll do…●Excellent SQL coding and experience with a broad array of development tools and platforms, including a strong Linux background and data integration, processing and transformation tools, such as SQL, R, SAS, Python, etc.●Apply strong programming skills (Python, SQL …)●Expertise in relational database design and data models●