Job Title: Associate Manager, Digital Analytics & Validation
Location: Toronto, ON (Hybrid)
Estimated Duration: Fulltime

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.

What you’ll do

Lead Digital Product Analytics

• Own end-to-end analysis for key digital products; translate product goals into measurable outcomes and prioritized recommendations.
• Build KPI frameworks (conversion, funnel health, task success, retention, engagement) and maintain metric dictionaries and documentation.
• Deliver clear narratives (insight ? recommendation ? action ? result) for non-technical stakeholders; drive follow-through.

Data Quality & Governance

• Oversee validation pipelines: instrument, organize, clean, and validate raw event data to ensure accuracy, completeness, and timeliness.
• Establish and enforce governance standards (taxonomies, naming conventions, event lifecycles, data quality SLAs) across platforms.
• Implement monitoring, anomaly detection, and release validation for analytics tags/events.

Program Analytics (Automotive, Flyer, Search)

• Automotive: Analyze product discovery and compatibility (e.g., vehicle selector/fitment), category navigation, PDP engagement, and conversion; identify friction and recommend improvements.
• Flyer: Measure reach, engagement, click-through, add-to-cart, and redemption; assess promotional effectiveness and sequencing; provide tactics to improve outcomes.
• Search: Evaluate query performance (CTR, zero-results, abandonment), relevance and ranking signals, autocomplete, and navigation from SERP; recommend improvements to boost findability.

Cross-Platform Data Integration

• Coordinate multi-source integration (web/app analytics, commerce, pricing, search telemetry) to build unified views, datasets, and dashboards.
• Partner with data engineering to define requirements, QA data pipelines, and maintain documentation for scalable, reliable data flows.

Ad-Hoc & Strategic Insights

• Respond to ad-hoc requests with timely, accurate analysis (root-cause, trend, cohort, pre/post release performance).
• Identify opportunities and industry trends that inform roadmap and investments to improve customer experience and product KPIs.

Stakeholder Engagement & Project Contribution

• Facilitate readouts and workshops; act as the analytics point of contact for Product Owners and cross-functional teams.
• Apply structured project management to keep scope, dependencies, and timelines aligned with analytics deliverables.

Team Leadership & Mentoring

• Provide day-to-day guidance and coaching; support onboarding and skill development.
• Champion best practices in documentation, reproducible analytics, and self-serve reporting.

Issue Resolution & Continuous Improvement

• Proactively identify and resolve instrumentation, data, or pipeline issues; drive root-cause analysis and preventive measures.
• Advance automation, observability, and self-serve capabilities to reduce time-to-insight and increase stakeholder autonomy.

What you bring

Technical (Must-have)

• Strong SQL proficiency (joins, window functions, performance tuning).
• Experience with GA4 or Adobe Analytics, including event instrumentation and validation.
• Data visualization proficiency with Tableau, Power BI, or Looker/Data Studio (build, maintain, and socialize dashboards).
• Demonstrated ability to define metrics, build KPI frameworks, and assure data quality end-to-end.

Technical (Preferred)

• Python or PySpark for data wrangling/validation; familiarity with BigQuery or Snowflake.
• Tag Management experience (e.g., GTM or Tealium) for event design and troubleshooting.
• Familiarity with web technologies (CSS, JavaScript) for tag design and debugging.
• Predictive & modeling skills (e.g., forecasting, regression/classification, feature understanding) to augment analytics when appropriate.
• Version control (Git) and reproducible analysis practices.

Experience & Education

• Post-secondary education in STEM fields (Computer Science, Engineering, Mathematics, Statistics, or related) or equivalent experience.
• 3–5 years in digital product analytics or adjacent roles, with direct collaboration with Product Owners.
• Experience partnering with data engineering or contributing to cross-platform data solutions.

Business & Leadership

• Strong grasp of digital products, data quality management, customer experience, and retail pricing strategies.
• Proven ability to present complex analysis to non-technical audiences and lead stakeholder discussions.
• Experience mentoring/tutoring team members; proactive, organized, and outcomes-oriented.

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.