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Data Analyst

Job description

This is a remote position.

The Client - Digital Design & Delivery Division (3D) is seeking a Data Analyst to support digital transformation, service innovation, and program review initiatives across government services. The resource will work within cross-functional agile delivery teams supporting modernization of citizen-facing services through human-centred design and data-driven decision making.

The Data Analyst will contribute across both data engineering and analytics streams, including building scalable data pipelines, supporting ETL workflows, designing dimensional data models, performing statistical and exploratory analysis, and developing dashboards to support service performance tracking.

Contract Details
  • Role: Data Analyst
  • Duration: Initial 7 months
  • Extension: Up to 24 months
  • Hours: Full-time (7.25 hrs/day)
  • Location: Primarily remote (Canada only) with occasional Edmonton onsite meetings
Core Responsibilities
Data Engineering
  • Design scalable ETL/data pipelines
  • Support SSIS and cloud ingestion pipelines
  • Implement Azure / AWS / GCP data solutions
  • Maintain data lakes and warehouses
  • Improve workflow performance and reliability
  • Implement governance and security best practices
  • Deploy SQL and NoSQL database solutions
  • Manage disconnected large-scale datasets

Data Analytics

  • Perform exploratory data analysis
  • Build dashboards (Power BI / SaaS visualization tools)
  • Deliver service performance metrics
  • Support statistical modeling
  • Provide business insights and recommendations
  • Create enterprise reporting solutions
  • Support analytics maturity within agile teams
  • Deliver data-driven service improvement strategies



Requirements

Mandatory Requirements

Education

  • Bachelor’s degree in:
    • Computer Science OR
    • Information Technology OR
    • Related discipline

Experience (Minimum)

Candidate must have:

5+ years

  • Data Engineer and/or Data Analyst experience
  • Working with large datasets (cloud + on-prem)

3+ years

  • Dimensional modeling (Star/Snowflake schemas)
  • Dashboard & reporting development (Power BI or similar)
  • Data governance & security
  • SSIS
  • Azure Data Factory (ADF)
  • APIs for data extraction/integration

2+ years

  • Cloud migrations (on-prem → cloud / cross-platform)
  • Git workflows
  • CI/CD pipelines
  • Containerization technologies


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