Lead advanced statistical modelling with Python and quantitative methods at Canadian Tire Corporation, shaping retail, customer, and loyalty decisions enterprise-wide.

The Manager, Statistical Modelling & Advanced Analytics leads rigorous analytics that support customer growth, retention, promotional effectiveness, and strategic retail decisions. You will work with large, complex datasets and partner with business leaders. The role also includes coaching analysts and data scientists while maintaining technical quality.

Key Responsibilities:

- Design advanced statistical and quantitative models using retail data
- Apply forecasting, causal inference, experimentation, and predictive modelling
- Build scalable, decision-oriented analytical frameworks




- Establish standards for validation, monitoring, and measurement
- Translate quantitative work into senior-leader recommendations

Requirements:

- Graduate degree in a quantitative field
- Significant statistical modelling or advanced analytics experience
- Robust Python coding experience
- Large-dataset experience using SQL, Spark, or similar tools
- Experience leading projects and influencing senior stakeholders

Bring statistical modelling, Python, and stakeholder leadership to customer, loyalty, and retail analytics at Canadian Tire Corporation.

📌 Senior Statistical Modelling Manager (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto