Supply Chain Co‑Op: Forecasting, Inventory & Analytics

Cutfootsiouxinn; State College (Centre County); Hybrid; USD 28,000 - 34,000; Full time

Job summary

Utz Quality Foods in State College, PA invites students to join as a Supply Chain Co-op from August to December 2027. This paid full-time internship lets you take a semester off school to gain hands-on experience in areas such as demand planning, purchasing, logistics, and warehousing.

You will work in one of the supply chain areas, collaborate with cross-functional teams, and build practical skills in data analysis, forecasting, inventory management, and process improvement while developing

Qualifications

• Co-op is a paid full-time position taking a semester off of school.
• Must have competency in all Microsoft Office products.
• Excellent interpersonal, communication, and problem-solving skills.
• Highly organized and detail oriented.
• Flexible and highly motivated.

Responsibilities

• Demand Forecasting: Assist in analyzing historical sales data to contribute to accurate demand forecasts.
• Inventory Management: Support the maintenance of optimal inventory levels to meet customer demand while minimizing excess stock.
• Data Analysis: Utilize data analysis tools to extract meaningful insights and generate reports on key performance indicators.
• Cross-Functional Collaboration: Collaborate with procurement, logistics, and production to ensure coordination.
• Transportation/Warehousing: Track freight with carriers and coordinate shipments and inventory.

Skills

MS Office competency

Communication

Organization

Flexibility

Tools

Excel

Job description

Utz Quality Foods in State College, PA invites students to join as a Supply Chain Co-op from August to December 2027. This paid full-time internship lets you take a semester off school to gain hands-on experience in areas such as demand planning, purchasing, logistics, and warehousing.

You will work in one of the supply chain areas, collaborate with cross-functional teams, and build practical skills in data analysis, forecasting, inventory management, and process improvement while developing