Canadian Tire Corporation is seeking a Senior Data Analyst This high-visibility role is accountable for providing critical CTC Triangle offer performance insights and enabling business teams to make effective operational decisions on weekly digital marketing campaigns, including Loyalty Customer 1-1 Offers and Offer Swaps. The team also manages performance measurement of key strategic initiatives through Triangle and Partnership Scorecards.

Build and manage key data pipeline processes that fuel various Loyalty Customer reports and tools using an "automate first" mindset

Work with data engineers, data scientists, and product managers to analyze and interpret data, and develop metrics to measure results

Solve non-routine analysis problems while applying advanced analytical methods as needed

Provide key commentary on customer interactions across various media channels through effective presentation of findings at multiple levels of stakeholders

Develop a comprehensive understanding of CTC's Loyalty Customer data structures and metrics while advocating for change where needed

Design intuitive dashboards to translate complex customer data into actionable insights across the organization

S. degree in Engineering, Science, Mathematics, Statistics or Computer Science (equivalent experience considered)





3+ years of professional work experience in the data analysis domain

Advanced knowledge of SQL for complex data analysis

Intermediate knowledge of a programming language such as Python, R, or SAS

Intermediate-level proficiency in Microsoft Excel

Experience with data intelligence and visualization platforms such as Looker, Google Data Studio, or Tableau

Balance of technical and business acumen for modeling business cases and strategic recommendations

S. degree in a related field (asset)

Experience with statistical data analysis such as linear models, hypothesis testing, and sampling methods (asset)

Demonstrated leadership and self-direction (asset)

64,000 – $106,000 CAD annually

Comprehensive benefits and retirement programs

Performance incentives and continuing education programs

S. degree in Engineering, Science, Mathematics, Statistics or Computer Science (or equivalent experience); 3+ years of skilled data analysis experience; advanced SQL skills; intermediate programming skills in Python, R, or SAS; intermediate Microsoft Excel proficiency;

experience with data visualization tools such as Looker, Google Data Studio, or Tableau. #

📌 Senior Data Analyst - SQL (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto