Senior Analyst, Customer Insights & Analytics – Canadian Tire – Oakville, ON
Location: Ontario | Company: Canadian Tire
Canadian Tire Corporation is one of Canada’s most recognized and trusted retail companies, and their analytics team in Oakville, Ontario is growing. If you’re the kind of analyst who doesn’t just crunch numbers but turns data into stories that drive real decisions, this Senior Analyst, Customer Insights & Analytics role might be exactly what you’re looking for.
In this position, you’ll dig into customer and financial data to surface trends, support loyalty program performance, and partner with cross-functional teams across the organization. The work is high-impact — your insights will directly shape customer engagement and retention strategy at one of Canada’s largest retailers.
About the Role: Senior Analyst, Customer Insights & Analytics
Day-to-day, you’ll be analyzing large datasets, building visualizations, and applying statistical techniques like segmentation, clustering, and hypothesis testing to deliver insights that matter. You’ll translate complex data into clear narratives that influence decision-making at every level of the business — from loyalty program teams to senior leadership.
This role also involves close collaboration with data infrastructure teams to improve reporting capabilities, meaning you’ll have a hand in both the strategic and technical sides of analytics. You’ll be expected to take ownership of your projects from start to finish, with precision and accountability.
Benefits and Salary
Canadian Tire offers a broadband salary range of $64,000 to $106,000, with a typical hiring range between $80,000 and $95,000 — final compensation depends on your experience, internal equity, and market conditions. On top of that, you’ll have access to comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, and product discounts. The company also offers mental health benefits of $5,000 per year for eligible employees and their families, along with total well-being tools and resources for all staff.
Job Details
📌 Job Type: Full-Time
🏢 Company: Canadian Tire Corporation
📍 Location: Oakville, ON
🆔 Requisition ID: JR163136
🗓️ Date Posted: July 17, 2026
💰 Pay: $80,000 – $95,000 (typical hiring range); broadband up to $106,000
Responsibilities
As a Senior Analyst on the Customer Insights & Analytics team, your work spans data analysis, reporting, statistical modelling, and cross-functional collaboration. Every deliverable you produce feeds directly into customer strategy and supports the loyalty and engagement programs that keep millions of Canadians coming back to Canadian Tire.
- Analyze customer and financial data to uncover meaningful trends and business opportunities
- Deliver performance analytics and insights for key strategic initiatives, including loyalty programs
- Create compelling reports and visualizations that drive decision-making across the organization
- Apply statistical techniques such as hypothesis testing, clustering, and customer segmentation
- Partner with data engineering teams to improve data infrastructure and reporting capabilities
- Support cross-functional teams with analytics expertise and clear data storytelling
Requirements / Skills
This role is well-suited to someone with a solid foundation in quantitative analytics and a genuine interest in using data to improve customer outcomes. Canadian Tire values candidates who combine technical depth with strong communication skills — someone who can just as comfortably write a SQL query as they can present findings to a business stakeholder.
- Bachelor’s degree in a quantitative field such as Statistics, Economics, or Mathematics
- 3+ years of experience in data analytics; retail or banking industry experience is an asset
- Strong proficiency in SQL, Python, and/or SAS (certification is a plus)
- Expertise in data visualization and experience with BI tools
- Familiarity with big data technologies (Hadoop) and cloud platforms (Azure preferred)
- Ability to translate complex data into clear, actionable insights for non-technical audiences
- Knowledge of statistical modelling and customer analytics techniques
- Strong attention to detail and a proactive, ownership-driven approach to project delivery
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 analytics experience before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Senior Analyst, Customer Insights & Analytics role at Canadian Tire in Oakville is perfect for candidates who excel in data analysis, statistical modelling, and data storytelling. On your resume, emphasize any experience with loyalty program analytics, customer segmentation, and BI tools, along with your ability to communicate complex findings to non-technical stakeholders. If you’ve previously worked in retail or banking analytics, make sure to highlight specific projects where your insights led to measurable business outcomes.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like SQL, Python, and customer segmentation that appear in the posting. Quantify your achievements where possible (e.g., “developed segmentation model that improved campaign response rate by 18%” or “built automated reporting dashboards reducing manual reporting time by 40%”). Write a brief cover letter expressing your genuine interest in Canadian Tire and why you’re excited about contributing to their analytics practice in Oakville. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Canadian Tire‘s Triangle loyalty program, their recent digital and data investments, and their company values beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your analytical thinking and cross-functional collaboration. Common questions may include scenarios about handling ambiguous data problems, presenting insights to business leaders, and prioritizing competing analytics requests. Dress appropriately for a corporate retail environment, arrive 10–15 minutes early, and bring copies of your resume. Prepare thoughtful questions about the team’s tech stack, data governance practices, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.