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About the Role

This hands-on and technical Data Analyst role supports store operations and merchandising teams by building datasets, analyzing performance, and enabling better day-to-day decisions in stores. This is a 12-month contract position.

Responsibilities

• Extract and manipulate large datasets (sales, inventory, product, store performance) using SQL
• Clean and validate data to ensure accuracy and consistency across reporting
• Build and maintain datasets and data models to support reporting and analytics
• Develop dashboards and reports (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
• Translate business questions into data requirements and outputs
• Troubleshoot data issues and support ongoing improvements in data quality and reporting processes
• Deliver clearly defined outputs (datasets, dashboards, analysis) within timelines
• Ramp quickly on existing data models, tools, and business context
• Operate independently on technical tasks with guidance from senior team members
• Support short-term priorities such as reporting builds, data validation, and deep-dive analysis

Requirements

• Degree or certification in Data Analytics, Business, Computer Science, or related field
• 1–2 years of analytics experience or relevant co-op/internship
• Ability to work with large, complex datasets and ensure data quality
• Strong attention to detail and problem-solving mindset
• Clear communication — able to explain outputs in simple business terms

Skills

• SQL (joins, aggregations, data transformation)
• Advanced Excel (data manipulation, pivot tables)
• Power BI or similar BI tools for dashboarding
• Python for data processing or automation (asset)
• Cloud platforms (Azure, Databricks, Snowflake) (asset)
• Retail, merchandising, or operations analytics (asset)
• Basic data modelling concepts (asset)

Location

• Toronto, Ontario

Work Type

• Hybrid (In-office 4 days a week)
• 12-month contract

Experience Level

• 1-2 years of analytics experience or relevant co-op/internship

Education Level

• Degree or certification in Data Analytics, Business, Computer Science, or related field

Salary/Compensations

• $64,000 – $106,000
• Typical hiring range: $64,000 – $85,000

Benefits

• Comprehensive benefits and retirement programs
• Performance incentives
• Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities
• Product discounts
• Store discounts
• Supported learning through our Triangle Learning Academy
• Canadian Tire Profit Sharing
• Retirement and savings programs for eligible employees
• Enhanced flex benefits program
• Mental health benefits ($5,000 per year for benefits-eligible employees and their families)
• Total well-being, and mental health tools and resources for all employees

About the Company

• Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies.
• With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies.
• We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward.
• Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility.
• It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging!

Equal Opportunity

• We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do.
• We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification.
• We are united in our purpose of being here to help make life in Canada better.
• We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond.
• Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.