Job Title: Data Coordinator (Paid Internship)

Location: Bowling Green, [State]

Job Type: Paid Internship (On-Site)

Job Summary

We are seeking a detail-oriented Data Coordinator (Student Intern) to support our engineering and operations teams with process improvement initiatives. This role is ideal for a student currently pursuing a degree in Industrial Engineering or a related field who is eager to gain real-world experience in workflow analysis, layout optimization, and data-driven problem-solving within a manufacturing environment.

Key Responsibilities

• Develop and maintain systems for managing office routines and workflows.
• Assist in planning, conducting, and evaluating engineering and operations projects.
• Monitor ongoing programs and projects, providing timely updates to supervisors.
• Support engineering initiatives, including time studies, workflow analysis, and layout optimization.
• Collect, organize, and analyze data to drive process improvement initiatives.
• Participate in Kaizen events and other continuous improvement projects.
• Create and update standard operating sheets and documentation.
• Collaborate with engineering, operations, and quality teams to identify and implement efficiency improvements.
• Document findings and present recommendations to leadership.
• Provide coordination support for special or high-priority projects.

Required Skills & Competencies

• Currently pursuing a Bachelor’s degree in Industrial Engineering or a related field (sophomore level or higher preferred).
• Proficiency in Microsoft Excel and AutoCAD.
• Strong analytical and problem-solving skills.
• Familiarity with Lean Manufacturing principles.
• Effective written and verbal communication skills, with the ability to collaborate across departments (production, materials, quality, etc.).
• Self-motivated with a strong desire to learn, contribute, and take initiative.

Value Proposition

This internship offers hands-on experience in engineering and operations within a dynamic manufacturing setting. You will gain practical skills in data analysis, process optimization, and cross-functional collaboration, preparing you for a successful career in industrial engineering.

Additional Details

• Overtime: Not expected
• Remote: No
• Travel: Not required
• Physical Requirements: None
• Equal Opportunity Employer (EOE): Including Disability/Veterans

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