New Graduate Program – Data Science Associate, Finance Rotational Program – Canadian Tire – Toronto, ON

Canadian Tire is one of Canada’s most recognized and trusted retailers, and they’re building the analytical talent pipeline that will shape the company’s future. Based in Toronto, ON, this New Graduate Program – Data Science Associate (Finance Rotational) is a structured two-year opportunity designed for soon-to-be graduates who are ready to apply their quantitative skills in a real-world, high-impact retail environment. With a 2027 start date and a hybrid schedule of four days on-site, this program is built for people who want meaningful work from day one.

Over two progressive 12-month rotations within Canadian Tire’s Finance Decision Support teams, you’ll collaborate cross-functionally with Merchandising and Finance, tackling everything from retail analytics and business intelligence to data engineering and AI development. This isn’t a passive learning experience — you’ll be a contributing member of the analytics team, helping drive business decisions and modernize financial reporting infrastructure.

About the Role: Data Science Associate – Finance Rotational Program

This rotational program places you at the intersection of data science, finance transformation, and business intelligence. Across your two rotations, you’ll develop expertise in analytics domains that directly support Canadian Tire’s Merchandising and Finance functions. You’ll be building dashboards and visualizations, designing data-driven models, supporting finance transformation projects, and integrating AI into business workflows — all within a team committed to continuous innovation.

Collaboration is central to this role. You’ll be working alongside internal stakeholders, cross-functional teams, and external partners, which means strong communication and interpersonal skills are just as important as your technical chops. Canadian Tire places emphasis on agility, growth, and inclusion, and this program is specifically designed to set you up for a long-term analytics career at CTC and beyond.

Benefits and Salary

The broadband salary range for this role is $53,000 – $88,000, with a typical hiring range of $53,000 to $70,000 depending on experience, internal equity, and market conditions. In addition to competitive compensation, Canadian Tire offers comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, and product discounts. Employees also benefit from enhanced flex benefits including $5,000 per year in mental health support, access to the Triangle Learning Academy, and Canadian Tire Profit Sharing for eligible employees.

Responsibilities

As a Data Science Associate in the Finance Rotational Program, your day-to-day work will span analytical problem-solving, data engineering, and business intelligence across two distinct 12-month rotations. Each rotation is structured to deepen your technical expertise while exposing you to different areas of Canadian Tire’s business, from retail analytics to finance transformation.

• Provide business decision support by delivering subject-matter expertise, analytics, and insights that enable optimal business decisions and resolve complex challenges
• Design and develop complex reports, dashboards, visualizations, and scorecards to support business intelligence and self-serve capabilities using tools like Power BI or Tableau
• Analyze data processes and tools to support the business data strategy, applying a variety of data science techniques to build complex models
• Partner with Finance teams on transformation projects focused on modernizing data processes, reporting infrastructure, and financial model design
• Integrate AI into business processes and develop intelligent agents that automate workflows, surface insights, and deliver actionable recommendations with appropriate testing and oversight
• Identify opportunities to drive business growth and value through data-driven analysis across Merchandising and Finance domains
• Collaborate cross-functionally with internal and external teams as a key contributor to the Finance Decision Support analytics team

Requirements / Skills

Canadian Tire is looking for graduating students who combine quantitative technical skills with strong communication abilities and a growth mindset. Ideal candidates are curious, action-oriented, and comfortable navigating ambiguity in a fast-paced retail environment. An expected graduation of December 2026 or Spring 2027 is required.

• Undergraduate degree in progress in Computer Science, Mathematics, Engineering, Statistics, Data Analytics, Business Analytics, Financial Analytics, or a related quantitative field
• Demonstrated knowledge in one or more of: BI development, data modelling, data engineering, business analytics, AI development, or process automation
• Technical proficiency with SQL, BI tools (Power BI or Tableau), Python or other coding languages, and AI platforms/tools
• Excellent verbal and written communication skills with the ability to collaborate effectively across diverse stakeholder groups
• Critical thinking and analytical mindset with the ability to visualize data and drive continuous improvement
• Familiarity with Spark, Azure Cloud Tools, Databricks, Microsoft’s Power Platform, or Copilot Studio is considered an asset
• Project, academic, or work experience in finance, retail, or business is an additional asset

Note: Applicants must attach an unofficial transcript with their application — this is a mandatory requirement for the application to be considered.

How to Apply

To apply, visit the official job posting using the link below and submit your application through Canadian Tire’s careers portal. Make sure your resume is up to date and that you include your unofficial transcript, as it is a mandatory part of the application.

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