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. #J-18808-Ljbffr