Slate Auto→
Manufacturing Lean Intern at Slate Auto in Warsaw, IN
InternshipOn-siteWarsaw, IN
Skills
lean principlescontinuous improvementanalytical skillsmicrosoft excelpower bimanufacturing operations5s implementationkaizen eventslayered process auditskpi metrics analysisdata analytics
Job Description
Summary: Slate Auto is a company focused on building safe and reliable vehicles while promoting reindustrialization in the USA. They are seeking motivated Continuous Improvement Interns to support Lean initiatives in their manufacturing operations, contributing to process improvements and data-driven decision making.
Responsibilities:
- Support 5S implementation and sustainment across production areas
- Observe processes and identify waste (TIMWOODS)
- Assist in development and documentation of standard work
- Support visual management systems (KPI boards, CI boards, shadow boards)
- Participate in Kaizen events and continuous improvement activities
- Assist with Layered Process Audits (LPA) and follow-up actions
- Support implementation and use of EASE audit software (5S)
- Track and analyze KPI metrics (SQDCP, OEE, FPY)
- Build and maintain reports and dashboards (Excel/Power BI)
- Analyze audit results to identify trends and improvement opportunities
- Support tracking of CI projects and cost savings initiatives
Required Qualifications:
- Currently pursuing a degree in Industrial Engineering, Manufacturing, Business, Data Analytics, or related field
- Basic understanding of Lean principles and continuous improvement concepts
- Strong problem-solving and analytical skills
- Proficiency in Microsoft Excel (Power BI a plus)
- Strong communication and teamwork skills
- Ability to work in a hands-on, shop-floor environment
Preferred Qualifications:
- Prior internship or exposure to manufacturing or Lean principles
Required Skills: Lean principles, Continuous improvement, Analytical skills, Microsoft Excel, Power BI, Manufacturing operations, 5S implementation, Kaizen events, Layered Process Audits, KPI metrics analysis, Data analytics