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Inventory Analyst

Job in Tallmadge, Summit County, Ohio, 44278, USA
Listing for: CFS
Full Time position
Listed on 2026-09-14
Job specializations:
  • Supply Chain/Logistics
    Supply Chain & Logistics
  • Business
    Supply Chain & Logistics
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Inventory Analyst

Salary: $60,000 - $80,000

Location:

On-Site in Tallmadge, OH

Why This Opportunity Stands Out:

  • Play a key role in optimizing inventory levels and improving operational efficiency across the business.
  • Gain visibility with supply chain, operations, purchasing, and leadership teams.
  • Influence strategic decisions through data-driven insights and reporting.
  • Work with advanced inventory systems, forecasting tools, and business analytics.
  • Develop expertise in demand planning, inventory optimization, and supply chain performance.
  • Contribute directly to cost savings, service-level improvements, and process enhancements.
  • Join a collaborative environment that values continuous improvement and innovation.
  • Build a strong foundation for future growth within supply chain, operations, or analytics leadership roles.

Key Responsibilities for the Inventory Analyst:

  • Monitor inventory levels and analyze trends to maintain optimal stock availability.
  • Develop forecasts and inventory plans based on historical data, demand patterns, and business needs.
  • Identify inventory discrepancies and partner with operations to resolve issues.
  • Create and maintain reports, dashboards, and KPIs related to inventory performance.
  • Analyze excess, obsolete, and slow-moving inventory and recommend corrective actions.
  • Collaborate with purchasing, warehouse, and operations teams to improve inventory accuracy and efficiency.

Qualifications for the Inventory Analyst:

  • Bachelor's degree in Supply Chain, Business, Finance, Analytics, or a related field.
  • 2+ years of inventory analysis, supply chain, planning, or related analytical experience.
  • Strong proficiency in Excel and inventory management or ERP systems.
  • Experience analyzing large datasets and translating findings into actionable recommendations.
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