Data Science Associate | Finance Rotations (Hybrid)

Canadian Tire Corporation, Limited; Calgary; Hybrid; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Performance incentives

Continuing Education

Well-being perks

Career growth

Product discounts

Broadband

Job summary

Canadian Tire Corporation, Limited is launching the New Graduate Data Science Associate Program for 2027 starts in Calgary. This two-rotation track builds broad analytics experience across Finance Decision Support, Merchandising and BI.

You'll design dashboards, perform data modelling, and apply AI techniques to real business problems, with four days onsite per week and one day from home, plus a competitive salary and benefits.

Qualifications

• Undergraduate degree in a quantitative/technical field.
• Experience or knowledge in BI development, data modelling, data engineering, analytics, AI development or automation.
• Strong communication and collaboration abilities.

Responsibilities

• Rotate through two 12-month rotations across Decision Support, Merchandising and Finance analytics.
• Design and develop reports, dashboards, visualizations and scorecards.
• Analyze data processes and build data-driven solutions using AI techniques.
• Partner with Finance to modernize data processes and reporting.
• Integrate AI into business processes and ensure trustworthy outcomes.

Skills

BI development

Data modelling

Data engineering

Business analytics

AI development

Process automation

Communication

Education

Bachelor's degree in a quantitative/technical discipline

Related field

Tools

SQL

Power BI

Tableau

Python

AI platforms/tools

Spark

Azure Cloud Tools

Databricks

Power Platform

Copilot Studio

Job description

Canadian Tire Corporation, Limited is launching the New Graduate Data Science Associate Program for 2027 starts in Calgary. This two-rotation track builds broad analytics experience across Finance Decision Support, Merchandising and BI.

You'll design dashboards, perform data modelling, and apply AI techniques to real business problems, with four days onsite per week and one day from home, plus a competitive salary and benefits.