Manager, Statistical Modelling & Advanced Analytics

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

Benefits offered by this job

Comprehensive benefits and retirement

Performance incentives

Continuing Education Programs

Career growth opportunities and retail

Product discounts

Other well-being perks

Job summary

Canadian Tire Corporation, Limited is seeking a Manager, Statistical Modelling & Advanced Analytics to lead high-impact modelling across retail, customer, and loyalty. You will translate rigorous quantitative work into actionable business decisions and work with large datasets to influence enterprise outcomes.

You will coach and develop a team of analysts and data scientists, establish rigorous model standards, communicate insights to senior leaders, and partner with business leaders to drive

Qualifications

• Graduate degree required in a quantitative field.
• PhD welcome but not required.
• Significant experience in statistical modelling or advanced analytics.
• Strong coding experience in Python.

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 with business leaders to identify where modelling can improve decision-making, 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

Skills

Python

Leadership

Communication

Statistical modelling

Forecasting

Experimentation

Education

Graduate degree in quantitative field (Statistics/Math/Econometrics/Economics/Data Science/CS)

PhD welcome but not required

Tools

SQL

Spark

Databricks

Cloud platforms

Job description

Reporting to the AVP, Advanced Analytics and Modelling, the Manager, Statistical Modelling & Advanced Analytics will lead high-impact statistical modelling work that helps shape decisions across retail, customer, and loyalty. This role is ideal for someone who enjoys solving complex business problems with rigorous quantitative methods and translating that work into real business action.

You will have the chance to directly impact customer growth and retention, promotional effectiveness, and strategic retail decision-making. You'll have the chance to work with large, complex datasets and influence decisions that matter across the enterprise.

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 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

What you bring

• 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:

• 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

• In addition to the above qualifications, preference will be given to candidates who have:

We're always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs

• Performance incentives, Continuing Education Programs

• Other perks to support your well-being

• Career growth opportunities and product discounts

Our typical hiring range is between $80,000.00 and $140,000.00 per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2

This posting represents an existing vacancy within our organization.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.