Lead Statistical Modelling & Advanced Analytics

Canadian Tire Corporation; Toronto; On-site; CAD 80,000 - 140,000; Full time

Benefits offered by this job

Benefits program

Performance incentives

Education programs

Well-being perks

Product discounts

Job summary

Canadian Tire Corporation is seeking a Manager, Statistical Modelling & Advanced Analytics in Toronto to lead high‑impact modelling that informs retail, customer and loyalty decisions. You will work with large datasets and translate quantitative work into strategic actions across the business.

The role involves coaching a team of analysts and data scientists, establishing model standards, and partnering with senior leaders to improve customer growth, retention and financial performance.

Qualifications

• Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, Computer Science, or another quantitative field.
• PhD is welcome, but not required.
• Significant experience in statistical modelling, advanced analytics, or quantitative decision support.
• Strong command of methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning.
• 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 clearly to non-technical audiences.
• Experience leading projects, influencing senior stakeholders, and helping others raise the quality of their work.

Responsibilities

• 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 to solve important business problems.
• 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.

Skills

Statistical modelling

Python

SQL/Spark

Team leadership

Data science

Communication

Education

Graduate degree in statistics/math/econometrics/data science

PhD welcome

Tools

Databricks

Cloud platforms

Distributed computing

Job description

Canadian Tire Corporation is seeking a Manager, Statistical Modelling & Advanced Analytics in Toronto to lead high‑impact modelling that informs retail, customer and loyalty decisions. You will work with large datasets and translate quantitative work into strategic actions across the business.

The role involves coaching a team of analysts and data scientists, establishing model standards, and partnering with senior leaders to improve customer growth, retention and financial performance.