New Graduate Program - Data Science Associate, Finance Rotational Program

Canadian Tire; Toronto; Hybrid; CAD 53,000 - 70,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Profit Sharing

Job summary

Canadian Tire’s Data Science Associate (DSA) Rotational Program in Toronto is a two-year entry program for new graduates starting in 2027. It features two 12-month rotations in Finance Decision Support, analytics, BI, and data engineering, with four days on-site and one day from home.

You’ll work with Merchandising and Finance on reporting, AI integration, and data modernization, building dashboards and models to drive business decisions.

Qualifications

• Graduation expected December 2026 or Spring 2027.
• Undergraduate degree in a quantitative/technical field.
• Knowledge in BI development, data modelling, data engineering, analytics, or AI development.
• Proficiency in SQL, BI tools (Power BI/Tableau), Python, and AI platforms/tools.
• Strong communication and collaboration skills.

Responsibilities

• Provide analytics and insights to enable business decisions.
• Design and develop reports, dashboards, visualizations, and scorecards using BI tools (Power BI/Tableau).
• Analyze data processes and support the data strategy; apply data science techniques for complex models.
• Partner with Finance teams on data modernization projects.
• Integrate AI into business processes and develop intelligent workflows.
• Collaborate cross-functionally within the Finance Decision Support analytics team.

Skills

SQL

Python

Communication

Teamwork

Critical thinking

Data analytics

Education

Undergraduate degree in CS/Math/Engineering/Quantitative Analysis/Statistics/Data Analytics/Business Analytics/Financial Analytics

Tools

Power BI

Tableau

Job description

Canadian Tire's Data Science Associate (DSA) Rotational Program is a two-year new graduate program starting in 2027, based in Toronto, ON. The program consists of two progressive 12-month rotations within Finance Decision Support teams working with Merchandising and Finance in domains such as retail analytics, business intelligence, and data engineering. Schedule: four days on-site, one day from home.

What You'll Do:

• Provide subject-matter expertise, analytics, and insights to enable optimal business decisions and resolve complex business problems
• Design and develop complex reports, dashboards, visualizations, and scorecards using BI tools such as Power BI or Tableau
• Analyze data processes and tools to support the business data strategy; apply data science techniques to build complex models
• Partner with Finance teams on transformation projects modernizing data processes, reporting, and financial models
• Integrate AI into business processes and develop intelligent agents that automate workflows, surface insights, and communicate actionable recommendations
• Collaborate cross-functionally with internal and external teams as a key member of the Finance Decision Support analytics team

Who You'll Bring:

• Expected graduation of December 2026 or Spring 2027
• Undergraduate degree in Computer Science, Mathematics, Engineering, Quantitative Analysis, Statistics, Data Analytics, Business Analytics, Financial Analytics, or a related field
• Demonstrated knowledge in 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 and ability to collaborate effectively in a team environment
• Critical thinking and analytical mindset with ability to visualize data and support continuous improvement
• Nice-to-haves: familiarity with Spark, Azure Cloud Tools, Databricks, Microsoft's Power Platform, Copilot Studio
• Project, academic, or work experience in finance, retail, or business is an asset

Note: Applicants must attach an unofficial transcript with their application — this is mandatory.

Salary: Typical hiring range $53,000–$70,000; broadband range up to $88,000.

Benefits: Comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, product discounts, $5,000/year mental health benefits, Triangle Learning Academy, Canadian Tire Profit Sharing.

Undergraduate degree in a quantitative or technical field (Computer Science, Mathematics, Engineering, Statistics, Data Analytics, Business Analytics, Financial Analytics or related). Expected graduation December 2026 or Spring 2027. Technical proficiency with SQL, Python, and BI tools such as Power BI or Tableau. Demonstrated knowledge in BI development, data modelling, data engineering, business analytics, or AI development.