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Supply Chain Analyst

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Onsite

Supply Chain Analyst

ClinLab Solutions Group

Supply Chain Analyst

Skills

SQL QueriesBig DataData MiningData AnalysisSAP ERPInventory ManagementProcess ImprovementSupply ChainCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Middlesex County, NJ, USA

Work mode:

Onsite

Published on:

26 September 2026

What they need


Summary:

The Supply Chain Analyst provides financial and analytical support to operations and business leadership, focusing on budget management, expenditure monitoring, and process improvement within the supply chain function.

Responsibilities:

  • Coordinate and develop operating and capital expenditure budgets for supply chain activities, ensuring alignment with organizational goals.
  • Monitor and analyze expenditures, perform data analysis, and forecast operational costs to support business decisions.
  • Review, audit, and validate expenditures for payment authorization, managing cost center spending and ensuring compliance with guidelines.
  • Support invoice booking processes, end-of-month cost allocation, and cross-charging of expenses to maintain accurate financial records.
  • Conduct monthly variance analysis, create performance dashboards, and communicate financial results to stakeholders as needed.
  • Develop, monitor, and analyze key performance indicators (KPIs) related to procurement, supplier performance, and inventory management.
  • Review contracts, negotiate rates and charges with service providers, and assess contract terms to identify financial implications and risks.
  • Drive continuous improvement initiatives, support ad hoc analytics requests, and maintain strong relationships with vendors and business partners.

Qualifications:

  • Bachelor’s degree required; technical field preferred.
  • 2-5 years of related experience in budget management or finance.
  • Understanding of supply chain operations, third-party vendors, and 3PLs.
  • Advanced Excel skills, including proficiency with pivot tables.
  • Ability to analyze large data sets and extract key insights over extended periods.
  • ERP experience, particularly with SAP, is valued.
  • Data mining and/or SQL skills preferred.
  • Experience in pharmaceuticals, branded products, or the food/beverage industry preferred.

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