Manufacturing Planning & Analytics Intern

Cleveland-Cliffs Steel Corporation; United States; On-site; USD 18,000 - 24,000; Full time

Benefits offered by this job

Education assistance

Paid time off

Health insurance

Job summary

Cleveland-Cliffs offers an internship/co-op program in West Chester, OH, providing hands-on experience in manufacturing planning and data-driven decision making. Interns work closely with engineering, operations, and sales leaders to develop schedules and improve delivery performance.

Responsibilities include building schedules, managing WIP, and automating reports using Excel and SQL Server, with exposure to forecasting and continuous improvement initiatives.

Qualifications

• Enrollment in a BS program in Supply Chain, Business, or related field.
• Sophomore year completed by summer 2027.

Responsibilities

• Build production schedules to support on-time delivery.
• Manage work-in-progress inventories.
• Coordinate with Sales, Operations, and Accounting on planning and expediting orders.
• Use Excel and SQL Server to retrieve, filter, and validate data.
• Generate standard daily/weekly/monthly reports.
• Provide data-driven insights and propose actions.
• Support monthly and annual production forecast planning.
• Automate repetitive Excel tasks and maintain automated reports.
• Assist with company-wide delivery improvement initiatives.
• Perform other duties as needed.

Skills

Excel

SQL Server

Data analysis

Scheduling

Forecasting

Education

Bachelor of Science in Supply Chain (enrolled)

Tools

SQL Server Management Studio

Microsoft Excel

Reporting Tools

Job description

Cleveland-Cliffs offers an internship/co-op program in West Chester, OH, providing hands-on experience in manufacturing planning and data-driven decision making. Interns work closely with engineering, operations, and sales leaders to develop schedules and improve delivery performance.

Responsibilities include building schedules, managing WIP, and automating reports using Excel and SQL Server, with exposure to forecasting and continuous improvement initiatives.