Analytics Engineer – Canadian Tire – Toronto, ON

Canadian Tire Corporation is on the lookout for a driven Analytics Engineer to join their CTC Triangle Program – Loyalty Data Product Engineering team in Toronto, Ontario. This is a meaningful role within one of Canada’s most recognized companies, sitting at the intersection of data engineering and business intelligence for a loyalty platform that touches millions of Canadians.

You’ll be working alongside a talented team of data engineers and analysts, building and maintaining data pipelines, validating data quality, and translating stakeholder needs into technical solutions. If you’re comfortable with PySpark, SQL, and ETL pipelines and want to grow your career in a fast-moving data environment, this could be a strong fit.

About the Role: Analytics Engineer

Reporting to the Engineering Manager, you’ll contribute to a portfolio of best-in-class data products and services that power customer-focused analytics across the organization. Your day-to-day will involve monitoring Loyalty domain data feeds, supporting partnership initiatives with end-to-end testing, and contributing to the True North program through User Acceptance Testing (UAT) and data table validation. You’ll also manage stakeholder communications and provide subject matter expertise on Loyalty-related data changes.

This role places a strong emphasis on coding standards, collaboration, and continuous improvement. You’ll follow development best practices guided by senior team members, contribute to CI/CD pipelines, and support both IT and business stakeholders in making data-informed decisions. There’s real opportunity here to learn, contribute, and grow within a supportive engineering culture.

Benefits and Salary

Canadian Tire offers a broadband salary range of $53,000 to $88,000, with a typical hiring range between $53,000 and $75,000 depending on experience, internal equity, and role-specific factors. On top of that, employees receive comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, and product discounts. The company also provides mental health benefits of $5,000 per year for eligible employees and their families, along with access to total well-being tools and resources.

Responsibilities

As an Analytics Engineer on the Loyalty Data Product Engineering team, you’ll play a hands-on role in maintaining data integrity, supporting program initiatives, and helping the business make better decisions through quality data products. The work spans testing, pipeline development, stakeholder communication, and ad hoc analytics — making every day a bit different from the last.

• Monitor and maintain the quality of Loyalty domain data feeds, including incident investigation, resolution, and ongoing data quality governance
• Support partnership initiatives through end-to-end testing, post-launch data validation, and issue remediation to ensure accurate data integration and reporting
• Contribute to the True North program by performing UAT and validating Loyalty-related data tables, business processes, and downstream impacts
• Manage stakeholder communications related to Loyalty domain data changes, providing subject matter expertise and supporting ad hoc business and operational requests
• Implement and test data pipelines to monitor and validate model assumptions and performance, adhering to coding standards
• Translate stakeholder requirements into technical specifications that support work processes and strategic business objectives
• Identify and troubleshoot technical issues as they arise, providing scalable resolutions with follow-through under supervision
• Contribute to ad hoc projects leveraging multiple internal and external data sources such as point-of-sale, loyalty issuance, product hierarchy, and customer data

Requirements / Skills

The ideal candidate brings a solid academic foundation in a technical field along with at least a year of hands-on data engineering or analytics experience. Canadian Tire values professionals who can work both independently and collaboratively, communicate clearly with non-technical stakeholders, and write clean, efficient code that meets team standards.

• Bachelor’s degree or higher in Computer Science, Math, Engineering, or a related field
• 1+ years of professional experience in data engineering or data analytics
• Hands-on experience with PySpark and exposure to pipeline orchestration tools such as Airflow
• Knowledge of database management systems such as Hadoop, Hive, MySQL, or Databricks
• Proficiency in SQL, including the ability to interpret and test complex queries, joins, and subqueries independently
• Basic understanding of delta tables, ETL pipeline concepts, and change data capture (CDC)
• Familiarity with Git for version control and an understanding of Object-Oriented Programming (OOP) principles
• Strong collaboration and communication skills with proven ability to work effectively in a team environment
• Experience with retail POS data, Databricks, Microsoft Azure, or Google Cloud is considered an asset

How to Apply

To apply for this Analytics Engineer position at Canadian Tire, use the link below to access the official job posting. Make sure your resume is up to date and reflects your relevant data engineering experience before submitting.

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