Senior Manager, Statistical Modelling & Advanced Analytics

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.

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