Senior Manager, Statistical Modelling

Canadian Tire Corporation is seeking a Senior Manager, Statistical Modelling & Advanced Analytics to lead high-impact statistical modelling work that shapes decisions across retail, customer, and loyalty.

What You'll Do:

• Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data
• Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning
• Partner closely with business leaders to identify where modelling can most improve decision‑making, customer outcomes, and financial performance
• Build models and analytical frameworks that are practical, scalable, and decision‑oriented
• Establish strong standards for model design, validation, monitoring, and measurement
• Translate complex quantitative work into clear recommendations for senior leaders
• Help shape the future of modelling and experimentation within the broader analytics organization
• Coach and develop a team of analysts and data scientists while remaining close to the work and setting a high bar for technical quality

What You Bring:

• Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, Computer Science, or another quantitative field (PhD welcome but not required)
• Significant experience in statistical modelling, advanced analytics, or quantitative decision support
• Strong command of methods including regression and classification, forecasting/time series, experimental design and measurement, causal inference, statistical learning, and model validation
• Strong coding experience in Python
• Experience working with large datasets using SQL, Spark, or similar tools
• Experience in modern data environments such as Databricks, cloud platforms, or distributed computing frameworks
• Strong communication skills with the ability to explain technical work to non‑technical audiences
• Experience leading projects, influencing senior stakeholders, and helping others raise the quality of their work

Nice to Have:

• Experience in retail, loyalty, consumer, pricing, marketing, or customer analytics
• Experience with experimentation platforms, uplift modelling, optimization, or decision science
• Experience building modelling workflows that move beyond analysis into operational use

Compensation:

$90,000 – $145,000 per year. Comprehensive benefits and retirement programs, performance incentives, continuing education, product discounts, career growth opportunities, and a mental health benefit of $5,000 per year for eligible employees.