Data Analytical Specialist/Scientist (RQ11753) Government Services Integration Cluster in Toronto

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 client's 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




• Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions




• Design methods to capture, structure, transform, and process data to be used to generate models




• Build data models that provide information which is accurate, easy to understand and unbiased




• Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries




• Provide 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 making

General Skills

• Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills




• Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance




• Adept at communicating to both technical and non-technical audiences




• Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level




• Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources




• Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores




• Experience designing high quality interfaces to present information in a meaningful way to end users




• Broad understanding of data management, financial and business analysis, database architecture, and information visualization




• Proficiency in query languages and experience constructing complex query statements




• Experience in one or more programming or scripting languages




• Strong investigative and logic skills




• Proficiency in mathematics and statistics




• Awareness of emerging Business Intelligence trends and directions




• Functional area experience as required




• Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset




• Proficiency with desktop analysis software including Microsoft Excel, Access, VBA

Experience Requirements

Technical Skills (40%)

• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.




• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.




• +5 years experience with cloud environments (Azure, AWS)




• +5 years experience with big data frameworks




• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).

Experience (40%)

• Experience with large government applications




• Experience with cloud platforms such as Azure




• Experience with custom .Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.




• Proficiency in all cloud service models: SaaS, PaaS, and IaaS




• Experience with Agile methodologies including using kanban/task boards

Communication Skills (20%)

• Strong communication skills to prepare documentation, including but not limited to; reports, reviews, assessments




• Ability to present ideas and suggestions clearly and effectively and in a user friendly manner; maintain a high level of customer service to both internal and external clients




• Ability to communicate designs and development in clear and understandable manner

Supplier Comments

Closing Date/Time: 2026-11-03, 12:00 p.m. EST.

Max submission: 1 (one)

5 days onsite

Must Have:

• Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.




• Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.




• +5 years experience with cloud environments (Azure, AWS)




• +5 years experience with big data frameworks




• Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).




• Experience with custom .Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.




• Proficiency in all cloud service models: SaaS, PaaS, and IaaS




• Experience with Agile methodologies including using kanban/task boards

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