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- Our client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!AdvantagesOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!ResponsibilitiesOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!QualificationsOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!SummaryOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!Our client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!AdvantagesOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!ResponsibilitiesOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!QualificationsOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!SummaryOur client is looking to hire a BSA Data Analyst for a 1 year contract.1 year contract- Strong BSA (8 + years experience) - 60% technical and 40% functional (SQL ideal)- Fraud - focus on analysis around data in the Fraud space - Very strong Data Analysis/Data Mapping- Agile background- able to interact with sr level stakeholders and clients- able to write user storiesPlease apply today for immediate consideration!
- Our public sector client is looking for a Data Analyst/Scientist to join them for an initial 1 year contract.Must Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)Advantages- work from home until quarantine is lifted - work on high profile projectrsResponsibilitiesLead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insightsWork closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvementFacilitate decision-making and manage client expectationsOwn the execution of analytics initiatives including end-to-end reporting and data set deliveryDevelop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferencesParticipate in documentation, development, testing, and end user trainingWork with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutionsDesign methods to capture, structure, transform, and process data to be used to generate modelsBuild data models that provide information which is accurate, easy to understand and unbiasedCommunicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summariesProvide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision makingQualificationsMust Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)SummaryMUST HAVE QUALIFICATIONSOTHERvisualization software tools (R Shiny, PowerBI, etc.) 5-8 yearscoding skills in various data languages (e.g. R, Python) 3-5 yearsStructured Query Language (SQL) 5-8 yearsknowledge of algorithms on machine learning, deep learning 5-8 yearsknowledge of data mining, statistical analysis, statistical models 5-8 yearsOur public sector client is looking for a Data Analyst/Scientist to join them for an initial 1 year contract.Must Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)Advantages- work from home until quarantine is lifted - work on high profile projectrsResponsibilitiesLead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insightsWork closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvementFacilitate decision-making and manage client expectationsOwn the execution of analytics initiatives including end-to-end reporting and data set deliveryDevelop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferencesParticipate in documentation, development, testing, and end user trainingWork with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutionsDesign methods to capture, structure, transform, and process data to be used to generate modelsBuild data models that provide information which is accurate, easy to understand and unbiasedCommunicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summariesProvide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision makingQualificationsMust Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)SummaryMUST HAVE QUALIFICATIONSOTHERvisualization software tools (R Shiny, PowerBI, etc.) 5-8 yearscoding skills in various data languages (e.g. R, Python) 3-5 yearsStructured Query Language (SQL) 5-8 yearsknowledge of algorithms on machine learning, deep learning 5-8 yearsknowledge of data mining, statistical analysis, statistical models 5-8 years
- Are you a talented Data Analyst with a passion for solving complex problems and a strong aptitude for learning new technologies? Our Vancouver client is seeking to hire a Data Analyst, on a long term contract with strong probability of extension. Apply to this amazing Data Analyst opportunity today!AdvantagesWhat’s in it for you!As a Data Analyst with our Vancouver client, you’ll receive:•Highly competitive market hourly rates.•A 6-month contract with strong probability of extension.ResponsibilitiesWhat will you do?As a Data Analyst with our Vancouver client, you will:•Work in a multi-disciplinary scrum team. Collaborate with other groups including Product Management and Technical Support to understand business needs•Analyze data from various sources and propose insights and correlations that can be derived from the data. Analyze and research industry trends and facts in order to provide industry related subject matter expertise•Develop models and algorithms and automate some of the recurring reports and analysis. Contribute to the growth of our Big Data & BI Platform with new technologies, algorithms and solutions •Asses the data quality and help with various data cleansing and reconciliation tasks•Prepare reports based on data analysis and present to management•Be constantly challenged to learn and grow with new technologies and complex problems •Understand and continuously be aware of data security requirements of our various data sources QualificationsHow do you qualify?To qualify for the Data Analyst role with our Vancouver client, you must have:•5+ years relevant experience in a Data Analyst role. •Degree in Computer Science, Engineering, Stats, Applied Math, Physics, Business from a University or equivalent. Post Graduate qualification in Operations Research, Business Analytics, Industrial Engineering, Statistics or related field would be an asset •A strong business acumen, good knowledge of Tableau, e.g. preparing data source, dash board and data insights for senior leadership •3+ years relevant experience in data engineering is an asset•Experienced with related AWS services (e.g. Redshift, S3, Lambda, Kinesis Firehose etc.)•Experienced with machine learning and deep learning (Logistic Regression, Natural Language Processing, Convolutional Neural Network, Bayesian Learning, Linear Regression, Neural Networks, Cluster Analysis, Decision Trees, SVM, etc.)•Good knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases•Good knowledge of BI and Time Series Analysis•Attitude to work with others and an aptitude to learn quicklyWhat additional experience do you bring?To be considered for the Data Analyst role with our Vancouver client, it’s beneficial to have:•Knowledge of Samsung Knox solution•Knowledge of programming and/or scripting languages (Java, bash, Python, R, etc.)•Knowledge of distributed programming (Hadoop, Spark, Kafka, Hive, Pig, Sqoop, etc.)•AWS certification•Experience with GitHub and Jenkins•Agile/Scrum software development methodologiesSummaryIf you possess an analytical, detail-oriented, collaborative mindset with a keen desire to work with Big Data and BI platforms, then the Data Analyst role with our Vancouver client could be the perfect opportunity for you!Please contact Meenakshi Yadav with your resume at: meenakshi.yadav@randstad.caFor more information, or click the Apply button now!Are you a talented Data Analyst with a passion for solving complex problems and a strong aptitude for learning new technologies? Our Vancouver client is seeking to hire a Data Analyst, on a long term contract with strong probability of extension. Apply to this amazing Data Analyst opportunity today!AdvantagesWhat’s in it for you!As a Data Analyst with our Vancouver client, you’ll receive:•Highly competitive market hourly rates.•A 6-month contract with strong probability of extension.ResponsibilitiesWhat will you do?As a Data Analyst with our Vancouver client, you will:•Work in a multi-disciplinary scrum team. Collaborate with other groups including Product Management and Technical Support to understand business needs•Analyze data from various sources and propose insights and correlations that can be derived from the data. Analyze and research industry trends and facts in order to provide industry related subject matter expertise•Develop models and algorithms and automate some of the recurring reports and analysis. Contribute to the growth of our Big Data & BI Platform with new technologies, algorithms and solutions •Asses the data quality and help with various data cleansing and reconciliation tasks•Prepare reports based on data analysis and present to management•Be constantly challenged to learn and grow with new technologies and complex problems •Understand and continuously be aware of data security requirements of our various data sources QualificationsHow do you qualify?To qualify for the Data Analyst role with our Vancouver client, you must have:•5+ years relevant experience in a Data Analyst role. •Degree in Computer Science, Engineering, Stats, Applied Math, Physics, Business from a University or equivalent. Post Graduate qualification in Operations Research, Business Analytics, Industrial Engineering, Statistics or related field would be an asset •A strong business acumen, good knowledge of Tableau, e.g. preparing data source, dash board and data insights for senior leadership •3+ years relevant experience in data engineering is an asset•Experienced with related AWS services (e.g. Redshift, S3, Lambda, Kinesis Firehose etc.)•Experienced with machine learning and deep learning (Logistic Regression, Natural Language Processing, Convolutional Neural Network, Bayesian Learning, Linear Regression, Neural Networks, Cluster Analysis, Decision Trees, SVM, etc.)•Good knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases•Good knowledge of BI and Time Series Analysis•Attitude to work with others and an aptitude to learn quicklyWhat additional experience do you bring?To be considered for the Data Analyst role with our Vancouver client, it’s beneficial to have:•Knowledge of Samsung Knox solution•Knowledge of programming and/or scripting languages (Java, bash, Python, R, etc.)•Knowledge of distributed programming (Hadoop, Spark, Kafka, Hive, Pig, Sqoop, etc.)•AWS certification•Experience with GitHub and Jenkins•Agile/Scrum software development methodologiesSummaryIf you possess an analytical, detail-oriented, collaborative mindset with a keen desire to work with Big Data and BI platforms, then the Data Analyst role with our Vancouver client could be the perfect opportunity for you!Please contact Meenakshi Yadav with your resume at: meenakshi.yadav@randstad.caFor more information, or click the Apply button now!
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all about data analyst jobs
If you enjoy analyzing documents, databases and various other sources of information, becoming a data analyst may be a natural career path for you. Most data analyst jobs allow for some creativity in terms of how data is used and interpreted, but they are also held to strict guidelines in many industries.
The most skilled individuals are ones with comprehensive understanding their field and all the unique requirements and protocols in their industry. With this expertise, you will be able to accurately and efficiently analyze information to find areas of opportunity for your company.
what data analyst jobs entail
Data analyst jobs require focus and discipline. As a data analyst, you spend a lot of time looking at databases, charts and other data. You use information to put together reports and updates. As a data analyst, you likely report to someone in the IT department of your company. Who you report to will depend on the industry you work in and size of the company you work at.
average data analyst salaries in canada
Proven success in this field will allow you to command a higher salary. Currently, data analyst salaries range from roughly $42,000 to $70,000 and are highly dependent on your years of experience.
Data analysts are needed across Canada in a wide range of industries and fields, leading to consistent demand and salaries. As with many tech jobs, the highest demand is found in city centres such as Toronto, Vancouver, Montreal and Calgary.
your day to day tasks
As a data analyst, your company counts on you to accurately assess company data and report on your findings. You may analyze data pertaining to your company's products and services, clients, or any other information that needs to be analyzed. As a data analyst, you turn numbers and information into usable charts, graphs, and reports that can be shared with management, shareholders, and clients.
Data analysts spend the majority of their working hours assessing information, however, interpersonal skills and communication may be required at times. You may sometimes be required to collaborate with other team members. Some data analyst jobs may also require to you explain your analysis to management or present meaningful reports during meetings.
where you can work
Data analyst jobs are found in many different verticals, including information technology, banking and finance, manufacturing, government, and healthcare, among others.
In our digital age, businesses of all sizes, in all industries, collect massive amounts of data. Data analysts are needed to make sense of all this information and find ways to use it to their company's advantage.
Your company relies on your expertise to find areas of opportunity for the business, as well as to create reports and learn from both successes and failures. Your expertise can be essential in guiding management and executives as they make important business decisions.
what you bring to the table
To succeed in the field of data, you must process large amounts of information and condense it into key takeaways that can be easily communicated. Some skills that will serve you well:
- analytical thought process
- tech skills; you work with computers and databases daily
- ability to recognize patterns
- ability to interpret data and make connections
- methodical, organized approach
- attention to detail and accuracy
- ability to prioritize and meet deadlines
- ability to work independently
- strong communication skills
training and certifications
Data analyst jobs typically require a Bachelor's degree, at minimum. A degree in information technology, statistics, or computer science are all safe bets. Though you should have little trouble securing a solid job with a bachelor's degree, many data analysts continue their post secondary education and pursue a master's or doctorate in a related field.
There are also numerous data analysis certifications from providers such as Cloudera, IBM, Oracle and Microsoft that will help set you apart from other candidates.
where your career is headed
Data analyst jobs can lead to more senior roles in the IT department, such as senior analyst roles, like big data analyst, or related supervisory positions.
In order to progress from an entry-level position into more senior roles, you will have to show skill in your role and demonstrate that you're able to work well with a team. Showing off your leadership skills when the opportunity arises, and a background in business may also help you move up the ranks at your company.