Supply Chain Analyst - NPI & Inventory Optimization (Contract)

US Tech Solutions, Inc.

North Reading (MA)

On-site

USD 39,000 - 55,000

Full time

7 days ago
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Job summary

US Tech Solutions in Massachusetts seeks a Supply Chain Analyst to support material risk tracking, inventory balancing, and spare parts replenishment. The ideal candidate has supply chain experience, strong Excel skills, and exposure to NPI materials management.

Responsibilities include analyzing demand and supply for components, maintaining documentation, creating analytical models in Excel and SQL, and monitoring on-time delivery to identify risks and opportunities.

Qualifications

  • Bachelor's degree in Engineering, Supply Chain, Transportation, Operations, or a related discipline.
  • 1–2 years of supply chain or analytical experience.
  • Strong Excel skills and experience with analytical modeling.
  • Exposure to NPI Materials Management.
  • SQL experience is preferred.

Responsibilities

  • Track material risk and balance inventory while reducing excess stock.
  • Perform basic demand and supply analysis for components.
  • Address shortages or risks by analyzing daily supply needs.
  • Support spare parts replenishment and improve material availability.
  • Develop analytical models using Excel and SQL.
  • Maintain internal documentation for training and reference.
  • Understand how supply chain systems interact with business processes.
  • Monitor portfolio-level on-time delivery to identify issues.

Skills

Excel
NPI Materials Management
SQL

Education

Bachelor's degree in Engineering, Supply Chain, Transportation, Operations, or a related discipline

Job description

US Tech Solutions in Massachusetts seeks a Supply Chain Analyst to support material risk tracking, inventory balancing, and spare parts replenishment. The ideal candidate has supply chain experience, strong Excel skills, and exposure to NPI materials management.

Responsibilities include analyzing demand and supply for components, maintaining documentation, creating analytical models in Excel and SQL, and monitoring on-time delivery to identify risks and opportunities.

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