Senior Manager, Statistical Modelling & Advanced Analytics
$90k - $145k per yearCanadian Tire
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-LjbffrVacancy posted 8 days ago
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