Strategic Merchandise Planner: Forecasting & Inventory

The Vitamin Shoppe

Secaucus (NJ)

On-site

USD 90,000 - 120,000

Full time

2 days ago
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Job summary

The Vitamin Shoppe is seeking a Merchandise Planner in New Jersey to develop and execute inventory strategies that optimize availability, investment, and productivity across the business. You will partner with Merchandising, Private Brand, Supply Chain, Analytics, and vendors to translate demand signals into data‑driven plans.

Ideal candidates bring 4–6+ years of planning experience, strong Excel and analytics skills, and familiarity with Relex and BI tools to balance assortment, turns, and risk

Qualifications

  • 4–6+ years of inventory, merchandise, or supply chain planning experience.
  • Advanced analytical skills with strong statistical and quantitative reasoning.
  • Bachelor’s degree in finance, economics, mathematics, statistics, supply chain management, or equivalent.

Responsibilities

  • Manage Open to Buy and allocate spend to drive sales and growth.
  • Own SKU and location level demand forecasting using historical sales and seasonality.
  • Review and maintain inventory models in Relex to optimize weeks of supply and replenishment parameters.
  • Analyze forecast accuracy, bias, and error; refine inputs.
  • Develop inventory scenarios to support financial planning and risk mitigation.
  • Balance owned brands vs. third party inventory based on promos and category strategy.
  • Collaborate with cross-functional teams on new item launches and lifecycle management.

Skills

Inventory planning
Forecasting
Excel
Power BI
SQL

Education

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or SCM

Tools

Relex
BI tools
SQL

Job description

The Vitamin Shoppe is seeking a Merchandise Planner in New Jersey to develop and execute inventory strategies that optimize availability, investment, and productivity across the business. You will partner with Merchandising, Private Brand, Supply Chain, Analytics, and vendors to translate demand signals into data‑driven plans.

Ideal candidates bring 4–6+ years of planning experience, strong Excel and analytics skills, and familiarity with Relex and BI tools to balance assortment, turns, and risk

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