About Us
Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 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. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.
Canadian Tire Corporation is a data-driven organization. As an Associate Manager, Digital Analytics & Validation, you will lead product analytics for our web and app experiences—turning data into actionable recommendations that improve customer outcomes and business performance. You’ll partner with Product Owners to define success-metric frameworks, drive high-quality event instrumentation and data governance, and scale self-serve reporting. You’ll also mentor analysts and enable stakeholders across the business.
As a Digital Analytics & Validation Analyst, you will support product analytics for our web and app experiences. You will help turn data into actionable recommendations by building dashboards, validating event instrumentation, maintaining metric documentation, and delivering routine and ad-hoc analyses. In addition, you will contribute to data infrastructure building—helping define requirements, assemble reliable datasets, and automate data quality checks—in collaboration with the Manager and product stakeholders.

What you’ll do

Product Analytics Support

• Query core datasets and build dashboards and scorecards for product KPIs (conversion, funnel health, engagement, retention).
• Monitor weekly/monthly performance; prepare concise readouts with trends, anomalies, and recommended follow-ups.
• Maintain metric dictionaries and documentation to ensure clarity and consistency.

Data Quality & Governance

• Execute QA checklists for analytics releases; validate events and parameters pre/post deployments.
• Support governance standards (taxonomies, naming conventions, event lifecycles) and keep documentation current.
• Set up monitoring and basic anomaly detection; log issues and track remediation through tickets.

Data Infrastructure & Pipeline Building

• Assist in building reliable data models and marts for digital analytics (star/snowflake schemas, dimensional modeling).
• Contribute to ETL/ELT tasks (SQL transforms; Python/PySpark where appropriate) and document data lineage.
• Implement automated validation checks (e.g., row counts, freshness, null/duplicate detection) and monitoring.
• Work with version control (Git) and follow data development best practices (branching, code review).
• Partner with data engineering to define pipeline requirements, QA data flows, and schedule jobs (e.g., DAGs).

Cross-Platform Data Integration

• Join data across web/app analytics, commerce and pricing to create unified datasets and dashboards.
• Maintain documentation for data sources, transformations, and output tables to ensure reliable data flows.

Ad-Hoc Analysis & Reporting

• Respond to ad-hoc requests with accurate, timely analysis (trend, cohort, pre/post release performance).
• Package insights into clear visuals and narratives for non-technical stakeholders.

Stakeholder Support & Documentation

• Participate in standups and working sessions; capture requirements and follow-ups.
• Maintain Confluence/knowledge base pages, query repositories, and dashboard catalogs.

Continuous Improvement

• Contribute to automation and standardization (query templates, data checks, reusable dashboard components).
• Propose iterative enhancements that reduce time-to-insight and improve data reliability.

What you bring

Technical (Must-have)

• Strong SQL skills (joins, window functions).
• Data visualization proficiency with Tableau, Power BI, or Looker/Data Studio
• Understanding of basic data modeling concepts (facts/dimensions, star/snowflake) and ETL fundamentals.
• Ability to document metrics, taxonomies, and data lineage; attention to detail in QA.

Technical (Preferred)

• Python or PySpark for data wrangling/validation; familiarity with BigQuery or Snowflake.
• Basic familiarity with web technologies (CSS, JavaScript) for tag/debug tasks.
• Predictive & modeling basics (forecasting, regression/classification) to augment analytics when appropriate.
• Experience with dbt, Airflow, or similar tools for transformations and orchestration (nice to have).
• Version control (Git) and reproducible analysis practices.
• Experience with GA4 or Adobe Analytics; ability to validate event instrumentation and understand common product analytics schemas.

Experience & Education

• Post-secondary education in STEM fields (Computer Science, Engineering, Mathematics, Statistics, or related) or equivalent experience.
• 0–2 years of experience (internships/co-ops/projects in digital analytics welcome).
• Exposure to building or supporting data pipelines/infrastructure and collaboration with engineering is a plus.

Business & Professional

• Detail-oriented, quality-first mindset with strong organizational skills.
• Clear written and verbal communication; ability to present simple insights to non-technical audiences.
• Curiosity, ownership, and a proactive approach to learning and problem solving.

Growth Path

• Master event instrumentation validation and dashboarding for one core area within the first 3–6 months.
• Progress toward intermediate analysis and data pipeline responsibilities under the guidance of the Manager.

Our commitment

We value diversity and provide equal opportunities for all applicants. If you require an accommodation during the recruitment process, please let us know.

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.