Job Details
Job Title: Data Analyst
Requisition ID: GOAPRDJP00000890
Client: Government of Alberta
Location: Edmonton, Alberta ( Remote – Occasional Onsite)
Duration: 7 Months (with possible extension up to 24 Months)
Work Hours: 36.25 hours/week
About The Role
The Government of Alberta is seeking a Data Analyst to support digital transformation and service innovation initiatives within the Digital Design and Delivery (3D) division.
This role combines data engineering and data analytics, requiring expertise in building data pipelines, performing analysis, and delivering actionable insights to support business decisions.
You will work in cross-functional agile teams, contributing to program reviews and digital product delivery.
Key Responsibilities
Data Engineering:
Education:
Experience:
Job Title: Data Analyst
Requisition ID: GOAPRDJP00000890
Client: Government of Alberta
Location: Edmonton, Alberta ( Remote – Occasional Onsite)
Duration: 7 Months (with possible extension up to 24 Months)
Work Hours: 36.25 hours/week
About The Role
The Government of Alberta is seeking a Data Analyst to support digital transformation and service innovation initiatives within the Digital Design and Delivery (3D) division.
This role combines data engineering and data analytics, requiring expertise in building data pipelines, performing analysis, and delivering actionable insights to support business decisions.
You will work in cross-functional agile teams, contributing to program reviews and digital product delivery.
Key Responsibilities
Data Engineering:
- Design, develop, and maintain scalable data pipelines (on-premises & cloud)
- Perform ETL processes using SSIS and Azure Data Factory
- Ensure data quality, integrity, security, and governance
- Manage data lakes, warehouses, and large datasets
- Optimize and improve existing data workflows
- Deploy data solutions using SQL/NoSQL and cloud platforms (Azure/AWS/GCP)
- Perform exploratory data analysis to identify trends and insights
- Develop reports, dashboards, and visualizations (Power BI, Tableau, Python)
- Conduct statistical analysis and data modeling
- Communicate findings and recommendations to stakeholders
- Build performance dashboards and service metrics
- Support data-driven decision-making across projects
Education:
- Bachelor’s degree in Computer Science, IT, or related field
- 5+ years as a Data Analyst and/or Data Engineer
- 5+ years working with data extraction from on-premises and cloud sources
- 3+ years designing dimensional models (star & snowflake schemas)
- 3+ years developing dashboards & reports (Power BI, Tableau, DAX, Python)
- 3+ years ensuring data quality, governance, and security
- 3+ years with SSIS, Azure Data Factory (ADF), and APIs integration
- 2+ years performing data migrations (on-prem to cloud / cross-database)
- 2+ years using Git, CI/CD pipelines, Docker/Kubernetes, Infrastructure as Code
- Experience with advanced analytics (predictive modeling, data mining)
- Experience in Government of Alberta or similar large environments
- Hands-on experience with Azure Databricks
- Knowledge of programming/scripting languages (Python, etc.)
- Experience with AI/ML or NLP
- Primarily remote within Canada with occasional onsite meetings in Edmonton
- Some travel within Alberta may be required
- Candidates must be eligible to work in Canada
- Security clearance and background checks may be required
Experience:
- 5+ years as a Data Analyst and/or Data Engineer
- 5+ years working with data extraction from on-premises and cloud sources
- 3+ years designing dimensional models (star & snowflake schemas)
- 3+ years developing dashboards & reports (Power BI, Tableau, DAX, Python)
- 3+ years ensuring data quality, governance, and security
- 3+ years with SSIS, Azure Data Factory (ADF), and APIs integration
- 2+ years performing data migrations (on-prem to cloud / cross-database)
- 2+ years using Git, CI/CD pipelines, Docker/Kubernetes, Infrastructure as Code
- Experience with advanced analytics (predictive modeling, data mining)
- Experience in Government of Alberta or similar large environments
- Hands-on experience with Azure Databricks
- Knowledge of programming/scripting languages (Python, etc.)
- Experience with AI/ML or NLP