Data-Driven Merchandising Analyst

Housekeeper.com; City of Moncton; On-site; CAD 60,000 - 90,000; Full time

Job summary

Couche-Tard/Circle K is seeking a data-driven professional to lead analytics for merchandising. You will analyze performance across department, cluster, vendor, item and location levels and synthesize store and BU metrics to inform pricing, promotions, and assortment decisions.

You will organize and visualize insights for non-technical audiences, collaborate with Marketing, Merchandising, Pricing and Global teams, and contribute to the annual DDM planning process while maintaining up-to-date

Qualifications

• Bachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or a related subject area.
• 2+ years of data analysis experience.
• Proficiency in Microsoft Word and email applications.
• Intermediate to advanced skills in Excel, Access and data visualization platforms (PowerBI, Tableau).
• Experience with SQL is a plus.
• Strong communication and multi-tasking abilities.
• Retail analytics experience is an asset.

Responsibilities

• Analyze merchandise performance at multiple levels (department, cluster, vendor, item, location).
• Assess store, regional, and BU pricing, promotion, and assortment metrics.
• Document BU level strategic decisions around pricing, promotions and assortment.
• Create insights using tools and reporting to support data-driven decision making.
• Visualize data and communicate findings clearly to non-analytical peers.
• Collaborate cross-functionally to drive DDM improvements and actions.
• Support annual DDM planning and participate in global analytics discussions.

Skills

Data analysis

SQL

PowerBI

Tableau

Excel

Access

Communication

Education

Bachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or related field

Tools

PowerBI

Tableau

Microsoft Word

Email applications

Job description

Couche-Tard/Circle K is seeking a data-driven professional to lead analytics for merchandising. You will analyze performance across department, cluster, vendor, item and location levels and synthesize store and BU metrics to inform pricing, promotions, and assortment decisions.

You will organize and visualize insights for non-technical audiences, collaborate with Marketing, Merchandising, Pricing and Global teams, and contribute to the annual DDM planning process while maintaining up-to-date