Merchandise Planner, Full-Price Stores

BoF Careers; New York (NY); On-site; USD 65,000 - 80,000; Full time

Job summary

Tory Burch in New York seeks an Associate Planner, Full Price Stores, to support merchandise planning for North America retail. You will partner with Planning, Buying, Allocation and cross-functional teams to drive inventory productivity and achieve sales targets.

Your role includes managing key reporting tools, analyzing sales and inventory data, and supporting the open-to-buy process. You will contribute to pre-season strategy and in-season optimization across assigned categories.

Qualifications

• Bachelor's degree required.
• 2 years of relevant experience.
• Proficiency in Excel and PowerPoint.
• Familiarity with planning tools (MicroStrategy, Tableau, SAP) is a plus.

Responsibilities

• Develop and maintain pre-season plans, including sales, markdowns, receipts, and inventory targets.
• Monitor weekly sales performance and support in-season management by identifying risks and opportunities.
• Own weekly and monthly reporting and analysis for key metrics across sales, margin, inventory, and productivity.
• Communicate the state of the business in weekly meetings and monthly OTB meetings.
• Provide insights and recommendations based on analysis of historical data, current performance, and market trends.
• Collaborate with Buyers and Allocators to ensure alignment on assortment strategies and inventory flow.

Skills

Excel

PowerPoint

Interpersonal skills

Organizational skills

Planning tools

Education

Bachelor's Degree

Tools

MicroStrategy

Tableau

SAP

Job description

Tory Burch in New York seeks an Associate Planner, Full Price Stores, to support merchandise planning for North America retail. You will partner with Planning, Buying, Allocation and cross-functional teams to drive inventory productivity and achieve sales targets.

Your role includes managing key reporting tools, analyzing sales and inventory data, and supporting the open-to-buy process. You will contribute to pre-season strategy and in-season optimization across assigned categories.