Senior Data Analyst – Canadian Tire – Toronto, ON

Canadian Tire Corporation is on the lookout for a Senior Data Analyst to join their Triangle Analytics team in Toronto, Ontario. This is a high-visibility position that plays a central role in shaping how one of Canada’s most recognized retail brands makes data-driven decisions — working directly with senior executives and cross-functional teams alike.

In this role, you’ll be at the heart of loyalty program analytics, measuring the performance of digital marketing campaigns, 1-1 customer offers, and key strategic initiatives through Triangle and Partnership Scorecards. If you’re the kind of analyst who thinks “automate first” and loves turning complex datasets into clear, actionable stories, this opportunity is worth a closer look.

About the Role: Senior Data Analyst

Working alongside data engineers, data scientists, and product managers, you’ll build and manage critical data pipeline processes that power loyalty customer reporting and analytics tools. Your work will directly inform weekly digital marketing decisions and support the measurement of major strategic programs. This is not a back-office role — you’ll be presenting findings to senior stakeholders and influencing decisions at multiple levels of the organization.

Beyond the technical side, this position requires a genuine collaborative spirit. You’ll network across departments including Finance, Merchandising, and Marketing, translating complex customer data into clear dashboards and insights that non-technical teams can act on. Strong communication and a curiosity-driven mindset are just as important here as SQL fluency.

Benefits and Salary

Canadian Tire offers a competitive annual salary ranging from $64,000 to $106,000 CAD, depending on your experience, skills, and market factors. On top of that, employees receive a comprehensive benefits and retirement program, performance incentives, continuing education programs, career growth opportunities, and product discounts. The company also provides an enhanced flex benefits package that includes $5,000 per year in mental health benefits for eligible employees and their families, along with Canadian Tire Profit Sharing and other well-being resources.

Responsibilities

As a Senior Data Analyst on the Triangle Analytics team, your day-to-day work spans everything from building automated data pipelines to presenting insights to the executive team. The role demands both technical depth and the ability to communicate clearly with non-technical stakeholders — making your analytical output genuinely useful across the business.

• Build and manage key data pipeline processes that fuel loyalty customer reports and tools, applying an “automate first” mindset
• Analyze and interpret complex datasets to develop metrics that measure the performance of digital marketing campaigns and loyalty offers
• Solve non-routine analysis problems by applying advanced analytical methods as required
• Deliver commentary on customer interactions across media channels through effective, multi-level stakeholder presentations
• Design intuitive dashboards that translate complex customer data into clear, actionable insights for teams across the organization
• Develop a comprehensive understanding of CTC’s loyalty customer data structures and advocate for improvements where needed
• Collaborate with data engineers, data scientists, and product managers to integrate new methodologies into existing processes

Requirements / Skills

The ideal candidate brings a strong foundation in data analysis and SQL, paired with the business acumen to frame insights in ways that drive real decisions. Canadian Tire values analysts who are self-directed, curious, and willing to both teach and learn — qualities that matter just as much as technical credentials in this role.

• Bachelor’s degree in Engineering, Science, Mathematics, Statistics, or Computer Science — or equivalent professional experience
• 3+ years of professional experience in the data analysis domain
• Advanced SQL skills for performing complex data analysis
• Intermediate proficiency in a programming language such as Python, R, or SAS for data transformation and processing
• Intermediate-level Microsoft Excel skills
• Experience with data visualization platforms such as Looker, Google Data Studio, Tableau, or similar tools
• Balance of technical and business acumen to model business cases and offer strategic recommendations
• Master’s degree in a related field, experience with statistical analysis (linear models, hypothesis testing, sampling), and demonstrated leadership ability are all considered assets

How to Apply

To apply, visit the official job posting using the link below. Make sure your resume is up to date and tailored to highlight your experience in data analysis, SQL, and business intelligence tools before submitting.

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