Senior Data Analyst

Canadian Tire Corporation; Toronto; On-site; CAD 64,000 - 106,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement programs

Performance incentives

Mental health benefits of $5,000 per year

Career growth opportunities

Product discounts

Job summary

A leading retail corporation is seeking a Senior Data Analyst to join its analytics team in Toronto, ON. You will be responsible for managing data pipeline processes and providing critical insights for marketing campaigns. The ideal candidate has a B.S. degree in a relevant field, advanced SQL skills, and experience with data visualization tools like Looker or Tableau. The role offers a salary range of $64,000 – $106,000 CAD annually along with comprehensive benefits and opportunities for career growth.

Qualifications

• 3+ years of professional work experience in data analysis.
• Advanced knowledge of SQL for complex data analysis.
• Intermediate programming skills in Python, R, or SAS.

Responsibilities

• Build and manage key data pipeline processes for Loyalty Customer reports.
• Analyze data and develop metrics with data engineers and product managers.
• Design intuitive dashboards to convey complex data insights.

Skills

SQL

Data analysis

Python

R

SAS

Data visualization (Looker, Tableau)

Microsoft Excel

Education

B.S. degree in Engineering, Science, Mathematics, Statistics or Computer Science

M.S. degree in a related field

Tools

Looker

Google Data Studio

Tableau

Job description

Canadian Tire Corporation is seeking a Senior Data Analyst to join the Triangle Analytics team in Toronto, ON. 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.

What You'll Do

• 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
• Integrate new methodologies into existing processes

What You Bring

• B.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
• M.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)

Compensation & Benefits

• Salary range: $64,000 – $106,000 CAD annually
• Comprehensive benefits and retirement programs
• Performance incentives and continuing education programs
• Mental health benefits of $5,000 per year for eligible employees and families
• Canadian Tire Profit Sharing
• Career growth opportunities and product discounts

B.S. degree in Engineering, Science, Mathematics, Statistics or Computer Science (or equivalent experience); 3+ years of professional 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.