Job Title: Manufacturing Engineer I
Client: Heavy Machine Manufacturing Industry
Duration: 12-Month Contract (Possible Extension)
Location: Milan, IL 61264
Shift: 1st Shift – Flexible Start Between 6:00 AM and 7:00 AM, Monday–Friday (40 Hours/Week).
Work Arrangement: Fully Onsite
Description:
Job Summary
- Support warehouse and manufacturing operations through continuous improvement in safety, quality, delivery, productivity, and cost efficiency.
- Analyze operational data, conduct time studies, and evaluate processes to improve warehouse performance.
- Identify root causes of operational issues and develop engineering solutions to optimize processes and space utilization.
Key Responsibilities
- Lead continuous improvement projects focused on productivity, quality, safety, warehouse space utilization, and cost reduction.
- Gather and analyze operational data, prepare reports, and develop visualizations to support decision-making.
- Conduct time studies, current method of manufacturing (CMM) events, and industrial engineering calculations.
- Evaluate processes, perform root cause analysis, and recommend corrective actions and process improvements.
- Coordinate with cross-functional teams to implement engineering solutions, monitor performance, and maintain project documentation.
Required Skills & Experience
- At least 1 year of experience using engineering tools and processes through professional experience or postsecondary coursework.
- Bachelor's degree in Engineering, Data Analytics, or a related field, or equivalent relevant work experience.
- Experience gathering, analyzing, and summarizing complex data, with strong analytical and problem-solving skills.
- Strong communication, organizational, and teamwork skills with the ability to collaborate across departments and adopt new technologies.
Desired Skills
- Experience with warehouse operations, SAP EWM, industrial or manufacturing engineering, continuous improvement, time studies, root cause analysis, SQL/Python/R/Java, Power BI/Tableau, and Microsoft Excel.
Education
- Bachelor's degree in Engineering, Data Analytics, Industrial Engineering, Quality Engineering, or a related field; equivalent relevant education and work experience may be considered.
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