Analytics Engineer

• Engage directly in discussions regarding business and technical requirements
• Collaborate with the AI Solutions team, finance (FP&A), and business partners to provide dependable, production-ready data assets
• Develop and manage data pipelines that consolidate information across various enterprise systems
• Combine data from disparate source systems into structured, high-quality datasets optimized for analysis
• Design and support core datasets that act as the single source of truth for company-wide metrics
• Deploy automated quality validation rules and address data discrepancies to maintain high accuracy and trust
• Utilize modern development practices—such as CI/CD, automation, unit testing, and Git—to deliver dependable analytics tools
• Facilitate self-service analytics by managing semantic layers and data models within Power BI
• Work alongside the IT department to enforce proper access permissions that comply with organizational security standards

• Post secondary degree in a relevant field
• 5 to 10 years experience in business intelligence with exposure to data architecture design
• Experience building data pipelines and integrating data from multiple systems
• Experience with cloud data platforms (Databricks or Microsoft Fabric preferred)
• Strong ability to translate technical concepts for non-technical stakeholders
• Strong SQL and Python skills

Databricks or Microsoft Fabric preferred

• Flexible Schedule: Hybrid work arrangements
• Retirement Planning: RRSP matching program up to 6%
• Health & Wellness: Comprehensive benefits package
• Career Development: Ample avenues for professional growth
• Company Culture: Welcoming team environment with a strong focus on work-life balance