Use Python, forecasting, and causal inference to lead advanced analytics supporting customer growth, retention, and promotional effectiveness.This Manager role leads statistical modelling and quantitative decision support across retail, customer, and loyalty data. You will solve complex business problems through regression, classification, time series, experimentation, and statistical learning. Your work will translate technical analysis into explicit recommendations for senior leaders.Key Responsibilities:

Build practical, scalable, decision-oriented analytical frameworksDevelop predictive models from large,



complex datasetsTranslate quantitative findings into recommendations for leadersShape modelling and experimentation across the analytics organizationMonitor model performance and strengthen measurement practicesRequirements:

Graduate training in statistics, mathematics, economics, or related fieldsCommand of regression, classification, and statistical learningKnowledge of experimental design and causal inferenceStrong Python skills with large-data experienceExperience with Databricks, cloud, or distributed computingApply advanced analytics, Python, and rigorous measurement to customer, loyalty, and retail performance questions.

📌 Advanced Analytics Manager Python (Winnipeg)
🏢 SportChek
📍 Winnipeg