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 clear recommendations for senior leaders.
Key Responsibilities: Build practical, scalable, decision-oriented analytical frameworks
Develop predictive models from large, complex datasets
Translate quantitative findings into recommendations for leaders
Shape modelling and experimentation across the analytics organization




Monitor model performance and strengthen measurement practices
Requirements: Graduate training in statistics, mathematics, economics, or related fields
Command of regression, classification, and statistical learning
Knowledge of experimental design and causal inference
Solid Python skills with large-data experience
Experience with Databricks, cloud, or distributed computing
Apply advanced analytics, Python, and rigorous measurement to customer, loyalty, and retail performance questions.

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