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 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
- Strong 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 (Toronto)
🏢 SportChek
📍 Toronto