Manufacturing Data Analytics Intern: Visualize & Improve

Oshkosh Corporation, Inc.; McConnellsburg (PA); On-site; USD 30,000 - 51,000; Full time

Job summary

Oshkosh Corporation’s JLG division invites a Manufacturing Data Analytics Intern to assist the Manufacturing Engineering team with data visualization, analytics, and continuous improvement initiatives. You will work on dashboards, data modeling, and factory layout input, gaining exposure to ERP systems and production processes.

The role emphasizes hands-on analysis, collaboration with engineering, and opportunities to apply Lean and Six Sigma concepts in a real-world manufacturing setting.

Qualifications

• Pursuing a Bachelor's degree in data analytics, industrial/manufacturing/mechanical engineering or computer science.
• Cumulative GPA of 3.0 or above.

Responsibilities

• Support visualization of factory data (quality, availability, performance) to provide insights and make decisions.
• Create Custom Ignition dashboards.
• Provide statistical analysis of weld, paint, and assembly data to create predictive models – Suggest opportunities for automated feedback in paint system, smart torque tools, as well as new robotic welding systems.
• Participate in time studies, line balancing, and ergonomic assessments.
• Perform work station/cell analyses to improve productivity and quality.
• Provide input for manufacturing fixtures and tooling.
• Use AutoCAD or similar tools to create and revise plant layout drawings.
• Learn and use ERP manufacturing software.
• All other duties or projects as assigned.

Skills

Lean manufacturing

Six Sigma

Education

Bachelor's degree in Data analytics Industrial engineering Manufacturing or mechanical engineering or computer science

Tools

Excel

SQL

Power BI

Job description

Oshkosh Corporation’s JLG division invites a Manufacturing Data Analytics Intern to assist the Manufacturing Engineering team with data visualization, analytics, and continuous improvement initiatives. You will work on dashboards, data modeling, and factory layout input, gaining exposure to ERP systems and production processes.

The role emphasizes hands-on analysis, collaboration with engineering, and opportunities to apply Lean and Six Sigma concepts in a real-world manufacturing setting.