Senior Forecasting Analytics Consultant

The Forecasting and Inventory Support team at Canadian Tire aims to enable the company to become the top forecasting retailer in the world and to drive best-in-class inventory management. The Senior Forecasting Analytics Consultant develops predictive models integrated into key merchandising decisions including assortment selection, pricing strategy, product forecasting, and replenishment.

• Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis, and measure causal impacts
• Work with Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business expertise, explainable, and efficiently integrated into processes
• Design and build user-friendly and actionable tools and reporting
• Plan, track, and manage multiple projects and requests ranging from long-term implementations to urgent system/tool support issues and quick ad-hoc analysis
• Proactively identify opportunities and deliver data-supported insights to Merchandising and Forecasting to improve forecast accuracy and key business decisions
• Provide leadership and direction to the team, including training and coaching in advanced analytics
• Ensure forecasting systems, reports, and EUC tools are operational and support business processes; lead projects to implement new functionality including automation
• Act as subject matter expert for Forecasting processes and provide expertise in special projects

• 4+ years of work experience in forecasting, analytics, merchandising, or supply chain
• University degree in engineering, math, computer science, statistics, business, or related field
• Proficiency with Python, Spark, and SQL; knowledge of R and VBA is an asset
• Direct experience with data science and machine learning models, including successful implementations and product ionizing of projects
• Strong analytical, problem-solving, and data mining skills
• Experience with cloud computing platforms such as Azure and Databricks is an asset
• Experience applying generative AI tools (e.g., Microsoft Copilot) to enhance analysis and reporting is an asset
• Advanced technical skills in Microsoft Power BI, Access, Excel, and database systems
• Results-oriented with proven project and time management skills
• Business mindset with understanding of the retail industry
• Demonstrated ability to lead and influence peers without direct authority
• Effective written and verbal communication skills including presentation abilities

Broadband salary range: $64,000 – $106,000 CAD. Typical hiring range: $64,000 – $85,000 CAD. Comprehensive benefits and retirement programs, performance incentives, continuing education programs, mental health benefits of $5,000 per year, product discounts, Canadian Tire Profit Sharing, and career growth opportunities.