Inventory Control Specialist — ERP & Process Improvement

PHD Inc.; Fort Wayne (IN); On-site; USD 48,000 - 75,000; Full time

Job summary

PHD, Inc. Fort Wayne, IN is seeking an Inventory Control Coordinator to support manufacturing operations and maintain inventory accuracy. You will coordinate cycle counts, monitor ERP transactions, and work with Purchasing, Production, Quality, and Accounting to resolve discrepancies.

The ideal candidate is detail-oriented, analytical, and proactive, with a commitment to continuous improvement and data-driven problem solving to sustain efficient material flow and accurate records.

Qualifications

• Detail-oriented and analytical approach to inventory control.
• Strong problem-solving and root-cause analysis skills.
• Experience with ERP systems and cycle counting is preferred.
• Excellent collaboration with Purchasing, Production, Quality and Accounting.

Responsibilities

• Coordinate and maintain the inventory cycle counting program.
• Monitor inventory transactions and locations to ensure ERP accuracy.
• Investigate discrepancies and identify root causes; implement corrective actions.
• Collaborate with cross-functional teams to improve inventory accountability.
• Review and reconcile inventory adjustments and material movements.
• Prepare inventory reports and performance metrics.
• Support SOPs and continuous improvement initiatives.

Skills

Inventory control

Analytical thinking

Attention to detail

Continuous improvement

Process & data analysis

Education

High school diploma or equivalent

Associate degree in Supply Chain or related

Tools

JD Edwards

Job description

PHD, Inc. Fort Wayne, IN is seeking an Inventory Control Coordinator to support manufacturing operations and maintain inventory accuracy. You will coordinate cycle counts, monitor ERP transactions, and work with Purchasing, Production, Quality, and Accounting to resolve discrepancies.

The ideal candidate is detail-oriented, analytical, and proactive, with a commitment to continuous improvement and data-driven problem solving to sustain efficient material flow and accurate records.