SENIOR ANALYST PRICING CAN
Role Overview
Supports the Merchandising organization with analytical work, insights, and pricing strategy for a defined portfolio of departments.
Provides data, analytics, and operational support to optimize pricing decisions affecting sales, margin, and market competitiveness.
Key Skills for This Role
Full Job Posting
Role overview
Supports the Merchandising organization with analytical work, insights, and pricing strategy for a defined portfolio of departments.
Provides data, analytics, and operational support to optimize pricing decisions affecting sales, margin, and market competitiveness.
Pricing analysis and execution
- Analyze competitive price positioning, elasticity, promotional effectiveness, and category performance.
- Support implementation of everyday pricing, promotions, markdowns, and regional strategies.
- Maintain pricing models, dashboards, and reporting tools; monitor margin, price perception, competitive gaps, and unit performance.
Insights and collaboration
- Translate data into actionable insights and build standardized and ad hoc reports on pricing decisions.
- Identify trends and opportunities to improve customer value and financial outcomes; communicate insights to leaders and partners.
- Partner with Merchants, Finance, and Pricing Operations for accurate, timely pricing execution.
Process and governance
- Validate pricing data across systems and channels; support improvements to pricing processes, tools, and workflows.
- Ensure pricing actions comply with company policies, legal requirements, and strategic pricing guidelines.
Required qualifications
- Bachelor’s degree in Business, Economics, Finance, Analytics, Mathematics, or a related field.
- Prior retail or e-commerce experience and knowledge of pricing strategy concepts, including elasticity, competitive price checks, margin optimization, and promotional analysis.
- Strong analytical and quantitative skills, including experience with large datasets.
- Proficiency in Excel, data visualization tools such as Tableau or Power BI, or similar tools, and AI tools such as Gemini or Copilot.
- Strong attention to detail, problem-solving, communication, recommendation development, and ability to manage multiple priorities in a fast-paced cross-functional environment.
Preferred skills
- Experience with GBQ, SQL, Python, or other query or analytics languages is preferred.
Workplace
- On-site Monday through Friday at 1 Concorde Gate, North York.
Pay range
- The stated pay range is $62,200 to $70,100; no pay cadence is specified.
Hiring process
The employer uses AI technology to assist with applicant screening and assessment, with human oversight maintained throughout the process.
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