Data Analyst – Store Operations & Merchandising – Canadian Tire – Toronto, ON

Canadian Tire Corporation is one of Canada’s most recognized retail institutions, and right now they’re looking for a Data Analyst to join their Store Operations & Merchandising team in Toronto, Ontario. This is a 12-month contract position with a hybrid work arrangement — four days in-office each week — giving you the chance to work on meaningful, high-impact analytics projects for one of the country’s largest retail networks.

This is a hands-on, technical role built for someone who loves working with data end to end — from raw extraction and cleaning all the way through to dashboards and business insights. You’ll be supporting store-level decisions and merchandising performance by building datasets, running analysis, and translating numbers into clear, actionable outputs for stakeholders across the business.

About the Role: Data Analyst – Store Operations & Merchandising

At its core, this position is about making data work harder for the teams on the front lines of retail. You’ll be extracting and manipulating large datasets covering sales, inventory, product, and store performance, then building the dashboards and models that keep stakeholders informed and decisions sharp. You’ll use SQL, Power BI, and Excel daily, and you’ll be expected to ramp up quickly on existing data models and tools.

You’ll operate independently on technical tasks while receiving guidance from senior team members. The role includes ad hoc analysis on assortment, pricing, promotions, and inventory movement, as well as troubleshooting data quality issues and supporting ongoing improvements to reporting processes. Clear communication is essential — you’ll need to translate business questions into data requirements and explain outputs in plain language.

Benefits and Salary

The broadband salary range for this position is $64,000 – $106,000, with a typical hiring range of $64,000 – $85,000. Final compensation depends on your experience, industry benchmarks, and internal equity. Canadian Tire also offers comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, and product discounts. Eligible employees benefit from mental health coverage of $5,000 per year, the Canadian Tire Profit Sharing program, and access to the Triangle Learning Academy for supported professional development.

Responsibilities

In this role, your day-to-day will revolve around building reliable data pipelines and delivering clear outputs that support retail and merchandising decisions. Every deliverable — whether it’s a dataset, a dashboard, or a deep-dive analysis — feeds directly into how Canadian Tire operates its stores and manages its product assortment.

• Extract and manipulate large datasets covering sales, inventory, product, and store performance using SQL
• Clean and validate data to ensure accuracy and consistency across all reporting outputs
• Build and maintain datasets and data models to support ongoing reporting and analytics needs
• Develop dashboards and reports in Power BI to track store and merchandising performance
• Support ad hoc analysis on assortment, pricing, promotions, and inventory movement
• Identify trends, gaps, and opportunities in store execution and product performance
• Collaborate with stakeholders to translate business questions into clear data requirements and outputs
• Troubleshoot data issues and contribute to improvements in data quality and reporting processes

Requirements / Skills

The ideal candidate is analytically strong, detail-oriented, and comfortable working independently within a structured technical environment. Canadian Tire values candidates who can move quickly, communicate clearly, and bring genuine curiosity to data problems in a retail context.

• Degree or certification in Data Analytics, Business, Computer Science, or a related field
• 1–2 years of analytics experience, including relevant co-op or internship placements
• Strong SQL skills — joins, aggregations, and data transformation are essential
• Advanced Excel proficiency, including data manipulation and pivot tables
• Power BI experience or familiarity with similar BI dashboarding tools
• Ability to work with large, complex datasets and maintain a high standard of data quality
• Clear communication skills — able to explain data outputs in straightforward business terms
• Python, cloud platforms (Azure, Databricks, Snowflake), and retail/merchandising analytics experience are all assets

How to Apply

To apply, use the official link below to submit your application through Canadian Tire’s careers portal. Make sure your resume is up to date and reflects your SQL, Power BI, and analytics experience before submitting.

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