Forecast Modelling Analyst
Role Overview
The Forecast Modelling Analyst performs analysis and generates insights integrated into key merchandising decisions such as assortment selection, product forecasting, and replenishment.
The role involves traditional and machine learning analytics to identify and quantify cause-and-effect relationships, design reporting, and develop user tools.
The analyst supports the advanced analytics roadmap and development of predictive modelling and machine learning capabilities.
Key Skills for This Role
Full Job Posting
Role Overview
The Forecast Modelling Analyst performs analysis and generates insights integrated into key merchandising decisions such as assortment selection, product forecasting, and replenishment.
The role involves traditional and machine learning analytics to identify and quantify cause-and-effect relationships, design reporting, and develop user tools.
The analyst supports the advanced analytics roadmap and development of predictive modelling and machine learning capabilities.
Primary Responsibilities
- Work with Merchandising, Forecasting, and Promotions teams to ensure model predictions are consistent with business intuition, explainable, and efficiently integrated into processes.
- Design and build user-friendly and actionable tools and reporting.
- Plan, track, and manage multiple work requests, from ad-hoc analysis to urgent system support and long-term project implementations.
- Ensure forecasting systems, reports, and EUC tools are operational and support business processes; lead projects to implement new functionality, including automation.
- Use traditional analytics and predictive/statistical modelling to identify and quantify sales drivers, conduct what-if scenario analysis, and measure causal impact.
- Act as a subject matter expert for forecasting processes and provide expertise and direction in special projects.
What You Bring
- Cross-functional background, excellent organizational skills, and experience working in a project environment.
- 2-4 years work experience in forecasting, analytics, merchandising, or supply chain.
- University degree in engineering, math, computer science, statistics, business, or a related field.
- Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights or recommendations.
- Programming experience with Python, SQL, or VBA.
- Advanced technical skills in Microsoft Access, Excel, and database systems.
- Passion for data sciences, machine learning, and visualizations; cloud experience is an asset.
- Results-oriented with proven project and time management skills.
- Business mindset with an understanding of the retail industry.
- Effective written and verbal communication skills, including presentation abilities.
Compensation
- Broadband salary range: $53,000 - $88,000.
- Typical hiring range is between $53,000 and $70,000.
- Salary decisions depend on experience, industry benchmarks, internal equity, and role-specific requirements.
Benefits
- Comprehensive benefits and retirement programs.
- Continuing education programs.
- Other perks to support well-being.
- Career growth opportunities and product discounts.
About Canadian Tire Corporation
Canadian Tire Corporation is one of Canada's most admired and trusted companies with more than 90 owned brands and over 1,600 retail locations.
The company offers competitive salaries, store discounts, supported learning, profit sharing, and retirement and savings programs for eligible employees.
The company is committed to diversity, inclusion, and belonging.
Application Notes
- This posting represents an existing vacancy within the organization.
- Artificial intelligence tools may be used to assist in initial resume screening; all hiring decisions are made by human recruiters.
- Accommodations are available on request during the application and interview process.
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