Senior Forecasting Analytics Consultant – Canadian Tire – Toronto, ON

Canadian Tire Corporation is looking for a Senior Forecasting Analytics Consultant to join their Forecasting and Inventory Support team at their Toronto, Ontario headquarters. This is a high-impact analytics role at one of Canada’s most recognized retail companies, where data science meets real business decisions at scale.

You’ll be working at the intersection of predictive modelling, machine learning, and merchandising strategy — building tools and models that directly influence how Canadian Tire forecasts demand, manages inventory, and drives smarter replenishment. If you thrive on turning complex data into actionable insights and want to shape the future of retail analytics in Canada, this role is worth a close look.

About the Role: Senior Forecasting Analytics Consultant

The Forecasting and Inventory Support team has an ambitious goal: to make Canadian Tire the top forecasting retailer in the world. As a Senior Forecasting Analytics Consultant, you’ll develop predictive models integrated into key merchandising decisions, from assortment selection and pricing strategy to product forecasting and replenishment. You’ll apply both traditional and machine learning analytics to identify cause-and-effect relationships and design reporting tools that are genuinely usable by Forecast Analysts and business teams.

This role also carries a leadership dimension. You’ll mentor and coach team members in advanced analytics, act as a subject matter expert for forecasting processes, and collaborate closely with Category Business Management, Forecasting, Replenishment, Allocations, Promotions, and IT teams. Strong project management skills are essential, as you’ll balance long-term implementations, process improvement initiatives, system support issues, and ad-hoc analysis all at once.

Benefits and Salary

Canadian Tire offers a broadband salary range of $64,000 to $106,000 CAD, with a typical hiring range between $64,000 and $85,000, depending on experience, internal equity, and market conditions. Beyond pay, the company provides comprehensive benefits and retirement programs, performance incentives, continuing education programs, mental health benefits of $5,000 per year for eligible employees and their families, product discounts, Canadian Tire Profit Sharing, and meaningful career growth opportunities. The enhanced flex benefits program supports total well-being through a suite of tools and resources.

Responsibilities

Day to day, this role spans a wide range of analytical and collaborative work. You’ll be building models, supporting business teams, managing projects, and coaching colleagues — all in service of improving forecast accuracy and inventory performance across one of Canada’s largest retail networks.

• Develop predictive and statistical models to identify sales drivers, conduct what-if scenario analysis, and measure causal impacts on business outcomes
• Collaborate with Merchandising, Forecasting, and Promotions teams to ensure model outputs are explainable, consistent with business expertise, and integrated efficiently into workflows
• Design and build user-friendly tools and reports that are actionable and accessible for Forecast Analysts and business stakeholders
• Plan, track, and manage multiple concurrent projects, ranging from long-term implementations and process improvements to urgent system support and quick ad-hoc requests
• Proactively identify opportunities and deliver data-supported insights to Merchandising and Forecasting teams to improve forecast accuracy and key business decisions
• Provide leadership and coaching to team members in advanced analytics methodologies and best practices
• Ensure forecasting systems, reports, and EUC tools remain operational, and lead projects to implement new functionality including automation
• Act as subject matter expert for forecasting processes and contribute expertise to special projects across the organization

Requirements / Skills

Canadian Tire is looking for a seasoned analytics professional who brings both technical depth and business acumen to the table. The ideal candidate has hands-on experience with data science and machine learning in a retail or supply chain context, and can communicate complex insights clearly to non-technical stakeholders.

• 4+ years of experience in forecasting, analytics, merchandising, or supply chain roles
• University degree in engineering, mathematics, computer science, statistics, business, or a related field
• Proficiency in Python, Spark, and SQL; knowledge of R and VBA is an asset
• Direct experience with data science and machine learning models, including productionizing and implementing projects at scale
• Advanced skills in Microsoft Power BI, Access, Excel, and database systems
• Experience with cloud computing platforms such as Azure and Databricks is considered an asset
• Familiarity with generative AI tools (e.g., Microsoft Copilot) applied to analytics and reporting workflows is an asset
• Strong project and time management skills with a results-oriented mindset and ability to manage competing priorities
• Proven ability to lead and influence peers and cross-functional teams without direct authority
• Effective written and verbal communication skills, including the ability to present findings clearly to diverse audiences

How to Apply

To apply for this Senior Forecasting Analytics Consultant position at Canadian Tire in Toronto, use the official application link below. Make sure your resume is up to date and tailored to reflect your experience in forecasting, analytics, and data science before submitting.

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