NA Assortment Planner: Data-Driven Forecasting & Strategy

Nike Inc

Beaverton (OR)

On-site

USD 70,000 - 110,000

Full time

5 days ago
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Job summary

Nike Direct’s NDDC Assortment Planner role focuses on shaping the product assortment and pricing strategy for North America. You will collaborate with Merchandising, Planning, Marketplace, Finance, and Business Unit teams to align demand with profitable growth and ensure timely product availability across channels.

The ideal candidate brings 2–3 years in retail planning or related fields, strong Excel skills, and proven ability to present data-driven recommendations to leadership while balancing

Qualifications

  • 2–3 years of experience in retail planning or related disciplines.
  • Advanced proficiency in Microsoft Excel for reporting and forecasting.
  • Experience presenting data-driven recommendations to leadership audiences.

Responsibilities

  • Support product forecasting and pricing strategies with performance analysis.
  • Develop and maintain planning reports to improve decision-making.
  • Monitor forecast accuracy and communicate weekly analyses to stakeholders.
  • Partner with Merchandising, Marketplace, Finance, and Inventory Planning to align plans.
  • Lead weekly markdown execution with pricing and inventory alignment.
  • Monitor price positioning and identify pricing opportunities.
  • Manage inventory health across product lifecycle including open-to-buy.

Skills

Analytical thinking
Communication skills
Cross-functional collaboration
Retail planning

Education

Bachelor's degree

Tools

Excel

Job description

Nike Direct’s NDDC Assortment Planner role focuses on shaping the product assortment and pricing strategy for North America. You will collaborate with Merchandising, Planning, Marketplace, Finance, and Business Unit teams to align demand with profitable growth and ensure timely product availability across channels.

The ideal candidate brings 2–3 years in retail planning or related fields, strong Excel skills, and proven ability to present data-driven recommendations to leadership while balancing

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