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 dataApply forecasting, causal inference, experimentation, and predictive modellingBuild scalable,
decision-oriented analytical frameworksEstablish standards for validation, monitoring, and measurementTranslate quantitative work into senior-leader recommendationsRequirements:
Graduate degree in a quantitative fieldSignificant statistical modelling or advanced analytics experienceStrong Python coding experienceLarge-dataset experience using SQL, Spark, or similar toolsExperience leading projects and influencing senior stakeholdersBring statistical modelling, Python, and stakeholder leadership to customer, loyalty, and retail analytics at Canadian Tire Corporation.