Analytics Engineer

Sportchek; Toronto; On-site; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement

Continuing Education Programs

Product discounts

Broadband

Job summary

Sportchek is seeking an Analytics Engineer to join the Loyalty Data Product Engineering team in Toronto. You will help design, build, and automate data pipelines that feed analytical and operational insights across the organization.

The role emphasizes testing, data validation, CI/CD, and collaboration with data engineers, analysts, and business stakeholders to ensure accurate Loyalty data and scalable solutions. Experience with PySpark, Airflow, Databricks and cloud platforms is preferred.

Qualifications

• Bachelor’s degree or higher in Computer Science, Math, Engineering, or a related field.
• 1+ years of professional data engineering or analytics experience.
• Hands-on experience with PySpark.
• Exposure to pipeline orchestration tools such as Airflow.
• Familiarity with Databricks, Azure, or Google Cloud.

Responsibilities

• Support end-to-end testing, post-launch data validation, and issue remediation for accurate data integration.
• Perform UAT and validate Loyalty data tables, business processes, and downstream impacts.
• Manage stakeholder communications related to Loyalty data changes and support ad hoc requests.
• Follow development best practices with CI/CD, automation, and collaborative review.
• Assist in implementing and testing data pipelines to monitor model assumptions and performance.
• Translate stakeholder requirements into technical specifications to support business objectives.
• Support IT and business stakeholders with data-driven decision making.
• Identify and troubleshoot issues with scalable resolutions under supervision.
• Contribute to ad-hoc projects leveraging multiple data sources (POS, loyalty, product hierarchy, customer data).

Skills

PySpark

SQL

OOP

Bash scripting

Git

Cloud SDKs

Education

Bachelor’s degree or higher in Computer Science, Math, Engineering, or a related field

Tools

Airflow

Databricks

Azure

Google Cloud

Job description

Analytics Engineer

We are seeking a motivated Analytics Engineer to join the CTC Triangle Program - Loyalty Data Product Engineering team, reporting to the Engineering Manager. This team leverages a broad range of data technologies and analytical techniques to design, develop, and automate data pipelines and processes consumed across the organization both analytically and operationally. Made up of data engineers and analysts, the team is focused on creating a portfolio of best-in-class products and services that fuel customer-focused analytics and enhance the customer and brand experience. Monitoring and maintaining the quality of Loyalty domain data feeds, including incident investigation, resolution, and ongoing data quality governance.

What you’ll do

• Supporting partnership initiatives through end-to-end testing, post-launch data validation, and issue remediation to ensure accurate data integration and reporting
• Contributing to the True North program by performing User Acceptance Testing (UAT) and validating Loyalty-related data tables, business processes, and downstream impacts
• Managing stakeholder communications related to Loyalty domain data changes, providing subject matter expertise, and supporting ad hoc business and operational requests.
• Follow development best practices under the guidance of senior team members, combining automation and CI/CD with a culture of review and collaboration
• Assist in implementing and testing data pipelines to monitor and validate model assumptions and performance adhering to coding standards
• Learn and understand business and operational processes to translate stakeholders’ requirements into technical requirements to support work processes and strategic business objectives
• Support IT and business stakeholders by assisting in decision‑making processes with data and data products
• Identify and troubleshoot technical issues as they arise, providing scalable resolutions with follow-through under supervision
• Contribute to ad‑hoc projects that leverage multiple internal and external sources of data such as point-of-sales, loyalty issuance, product hierarchy, customer data etc.

What you bring

• 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 in PySpark and exposure to pipeline orchestration tools such as Airflow
• Knowledge of database management systems (e.g., Hadoop & Hive, MySQL, Databricks etc.)
• Self‑sufficient in interpreting, decoupling and testing of complicated queries, joins, subqueries in SQL
• Basic understanding of delta tables, ETL pipeline concepts, and change data capture
• Familiarity with Git for version control
• Understanding of Object‑Oriented Programming (OOP) principles
• Basic knowledge of bash scripting and cloud SDKs for automation
• Strong collaboration and communication skills; proven ability to work effectively in a team environment
• Experience working in the retail sector, especially with POS (point-of-sale) data is an asset.
• Familiarity with Databricks, Microsoft Azure, or Google Cloud is an asset
• Familiarity with network security protocols (especially relevant for the Senior Data Engineer role) is an asset
• Experience with key management and authentication mechanisms is an asset

Benefits

• Comprehensive benefits and retirement programs
• Performance incentives, Continuing Education Programs
• Other perks to support your well‑being
• Career growth opportunities and product discounts
• Broadband

Broadband Salary Range: $53,000- $88,000. Our typical hiring range is between $53,000 and $75,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market‑leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits‑eligible employees and their families, including total well‑being, and mental health tools and resources for all employees.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity‑seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

We’re always on the lookout for curious, creative people who are able to navigate and excel in a rapidly evolving retail environment.

Join us, where there’s a place for you here.