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

Robust 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.

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