Build automated data pipelines and curated datasets with Databricks, SQL, and Python at Canadian Tire Corporation’s Toronto hybrid workplace.

This Senior BI Analyst role covers the full analytics lifecycle, connecting enterprise data with trusted reporting solutions. You will support data-driven decisions across marketing, loyalty, merchandising, and promotions. The position combines data engineering, modeling, visualization, and performance analysis.

Key Responsibilities:

- Source and integrate data from multiple enterprise systems
- Maintain automated pipelines and curated analytical datasets
- Apply star schema and fact-dimension modeling practices
- Improve reporting frameworks through automation and optimization
- Validate data accuracy,



consistency, and reporting quality

Requirements:

- Bachelor’s degree in statistics, mathematics, or related discipline
- Three or more years in analytics or related fields
- Experience with Python, PySpark, SQL, and cloud platforms
- Solid understanding of dimensional and semantic modeling
- Databricks experience is required; Azure Synapse or Fabric desirable

Apply data engineering, Databricks, SQL, and analytical modeling expertise to scalable enterprise reporting at Canadian Tire Corporation.

📌 Senior Analytics Engineer Databricks (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto