Senior Manager, Statistical Modelling & Advanced Analytics

Canadian Tire; Toronto; On-site; CAD 90,000 - 145,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Performance incentives

Continuing education

Product discounts

Mental health benefit of $5,000

Job summary

A Canadian retail company is seeking a Senior Manager, Statistical Modelling & Advanced Analytics to lead impactful statistical work influencing retail strategies. Responsibilities include designing advanced statistical models, collaborating with business leaders, and coaching a team of analysts. Ideal candidates will have a graduate degree in a quantitative field, significant experience in statistical modelling, and strong skills in Python. The position offers a competitive salary and benefits including performance incentives and mental health support.

Qualifications

• Graduate degree in a quantitative field, with a PhD welcome.
• Significant experience in statistical modelling and advanced analytics.
• Strong coding experience in Python.
• Experience in modern data environments.

Responsibilities

• Lead the design and development of advanced statistical models.
• Partner closely with business leaders to improve decision-making.
• Coach and develop a team of analysts and data scientists.

Skills

Statistical modelling

Advanced analytics

Python

SQL

Statistical learning

Leadership

Education

Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, or related field

Tools

SQL

Spark

Databricks

Job description

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.