More jobs:
Inventory Analyst
Job in
Tallmadge, Summit County, Ohio, 44278, USA
Listed on 2026-09-14
Listing for:
CFS
Full Time
position Listed on 2026-09-14
Job specializations:
-
Supply Chain/Logistics
Supply Chain & Logistics -
Business
Supply Chain & Logistics
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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