Our Client in the Ontairo Public Sector is looking for a Intermidate Data Analytical Specialist Scientist on a 9 month contract with a strong chance to extend
Tools and techniques - 40%
Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, datamining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplines
...
Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos
Experience working in an agile/iterative project environment
Total BI and Analytics Experience - 35%
Experience developing business intelligence and various analytics resources
Experience with cleaning, transforming, integrating, and visualizing data sets
Experience understanding a data model
Experience with SQL and using queries to extract relevant data
Demonstrated knowledge of emerging Business Intelligence trends and directions
Experience with dimensionalized data/building cubes
Demonstrated knowledge and experience in psychometry/psychometrics would be an asset
Communication Skills - 20%
Demonstrated consulting and relationship management skills, with proven ability to elicit requirements,develop/consult on options and solutions, and provide effective guidance
Strong verbal and written communication skills; with both technical and non-technical audiences
Excellent analytical, problem-solving and decision making skill
Strong leadership and collaboration skills
A demonstrated team player with a track record for meeting deadlines
Advantages
Pay Every week
2-3 days in office.
Office is close to College Subway Station.
Long Term Contract
Responsibilities
Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement. Facilitate decision-making and manage client expectations. Own the execution of analytics initiatives including end-to- end reporting and data set delivery. Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences. Participate in documentation, development, testing, and end user training.
Qualifications
Skills:
Statistical modelling using R script
Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset
Experience integrating R Script into Microsoft Power BI
Experience with predictive analytics
Experience with dimensionalized data / building cubes
Summary
Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement. Facilitate decision-making and manage client expectations. Own the execution of analytics initiatives including end-to- end reporting and data set delivery. Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences. Participate in documentation, development, testing, and end user training.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our Client in the Ontairo Public Sector is looking for a Intermidate Data Analytical Specialist Scientist on a 9 month contract with a strong chance to extend
Tools and techniques - 40%
Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, datamining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplines
Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, Cognos
Experience working in an agile/iterative project environment
Total BI and Analytics Experience - 35%
Experience developing business intelligence and various analytics resources
Experience with cleaning, transforming, integrating, and visualizing data sets
Experience understanding a data model
Experience with SQL and using queries to extract relevant data
Demonstrated knowledge of emerging Business Intelligence trends and directions
Experience with dimensionalized data/building cubes
Demonstrated knowledge and experience in psychometry/psychometrics would be an asset
Communication Skills - 20%
...
Demonstrated consulting and relationship management skills, with proven ability to elicit requirements,develop/consult on options and solutions, and provide effective guidance
Strong verbal and written communication skills; with both technical and non-technical audiences
Excellent analytical, problem-solving and decision making skill
Strong leadership and collaboration skills
A demonstrated team player with a track record for meeting deadlines
Advantages
Pay Every week
2-3 days in office.
Office is close to College Subway Station.
Long Term Contract
Responsibilities
Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement. Facilitate decision-making and manage client expectations. Own the execution of analytics initiatives including end-to- end reporting and data set delivery. Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences. Participate in documentation, development, testing, and end user training.
Qualifications
Skills:
Statistical modelling using R script
Experience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an asset
Experience integrating R Script into Microsoft Power BI
Experience with predictive analytics
Experience with dimensionalized data / building cubes
Summary
Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement. Facilitate decision-making and manage client expectations. Own the execution of analytics initiatives including end-to- end reporting and data set delivery. Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences. Participate in documentation, development, testing, and end user training.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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