Top Data & Analytics Jobs in Toronto, ON

Lead technical architecture and roadmap for analytics engineering: design semantic/metrics layer, build AI-ready Snowflake data foundation, optimize dbt projects, mentor engineers, partner with Data Science/Engineering, and champion data governance, observability, and production readiness for AI and downstream analytics.

Design, build, and maintain scalable dimensional data models, semantic/metrics layers, and production data pipelines (dbt, Snowflake). Partner with Data Science, Data Engineering, BI, and DevOps to enable AI/ML, real-time analytics, governance, and data quality while mentoring junior engineers and enforcing best practices.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

Support implementation, testing, and backtesting of a third-party decision engine. Validate data flows, execute QA/A-B tests, document requirements and processes, and collaborate with Pricing, Risk, and Engineering to optimize decisioning and offer drafting workflows.

Lead BI analyst leveraging a modern data stack to deliver dashboards, automated reports, and AI-driven insights. Partner with stakeholders to define data needs, build Tableau visualizations, write complex SQL in Snowflake, and integrate Snowflake Intelligence/Claude to automate workflows and enable self-service analytics across the company.

The Senior Analyst, Portfolio Strategy will provide insights to drive business growth, manage portfolio risk, and analyze pricing and profitability.