Senior Manager, Statistical Modelling & Advanced Analytics

Canadian Tire Corporation is seeking a visionary Senior Manager to lead its Statistical Modelling & Advanced Analytics practice in Toronto. This role offers a competitive salary range of $90,000‑$145,000 and the chance to influence strategic decisions across retail, customer experience, and loyalty programs.

Key Responsibilities

• Lead the design, development, and deployment of advanced statistical and quantitative models using large‑scale retail, customer, and loyalty datasets.
• Apply forecasting, causal inference, experimental design, segmentation, and machine‑learning techniques to solve complex business problems.
• Partner with cross‑functional teams—including merchandising, marketing, finance, and supply chain—to translate analytical insights into actionable business strategies.
• Mentor and manage a team of data scientists, analysts, and engineers, fostering a culture of rigorous experimentation and continuous learning.
• Develop and maintain end‑to‑end analytics pipelines, ensuring data quality, reproducibility, and scalability.
• Present findings and recommendations to senior leadership and stakeholders, creating clear visualisations and executive summaries.
• Stay abreast of emerging analytics methodologies and tools, integrating best practices into the organization’s analytics framework.

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master’s or PhD preferred).
• 5+ years of hands‑on experience in statistical modelling, predictive analytics, or data science within a retail or consumer‑focused environment.
• Proficiency in analytical languages such as Python, R, or SAS, and experience with SQL and big‑data platforms (e.g., Spark, Snowflake).
• Demonstrated expertise in forecasting, causal inference, A/B testing, and machine‑learning model development.
• Strong business acumen with the ability to translate technical results into clear, strategic recommendations.
• Excellent communication and stakeholder‑management skills; comfortable presenting to senior executives.
• Leadership experience managing multidisciplinary analytics teams.

Preferred Experience

• Experience in retail, e‑commerce, or loyalty program analytics.
• Familiarity with cloud‑based analytics environments (AWS, Azure, GCP).
• Knowledge of data visualisation tools such as Tableau, Power BI, or Looker.
• Publication or conference presentations in advanced analytics or statistical methods.

What We Offer

• Competitive salary with performance‑based bonuses.
• Comprehensive benefits package including health, dental, vision, and retirement plans.
• Opportunities for professional development and continuous learning.
• Collaborative, innovative culture within one of Canada’s most iconic brands.

How to Apply

Submit your resume and a cover letter outlining your most impactful analytics projects to careers@canadiantire.ca. Applications will be reviewed on a rolling basis.

Frequently Asked Questions

What type of data will I work with in this role?

You will work with large retail, customer, and loyalty datasets, including transaction histories, shopper demographics, online behaviour, and promotional response data.

Do I need a PhD to be considered?

A PhD is preferred but not required. A Master’s degree combined with 5+ years of relevant experience is sufficient.

Is remote work allowed?

The position is based in Toronto with a hybrid model—typically 2‑3 days per week in the office and the remainder remote.