Process Engineering&Data Analytics Intern -FF
$56,160–$58,240 year
On-siteChicago, Illinois, United States
Job Summary
Extract, clean, and analyze daily manufacturing data to monitor key process metrics and identify operational trends, performance anomalies, and bottleneck areas. Assist in planning and executing Designed Experiments (DOE), organizing baseline data and compiling statistical results to validate process improvements. Create, refine, and update part-specific process maps, standard operating conditions, and work instructions by metal type and design flow. Support structured problem-solving initiatives using 5-Why, DMAIC, and PDCA methodologies to identify root causes of yield loss or quality variations. Prepare charts, dashboards, and technical reports to communicate engineering findings, while participating in safety improvement audits and documenting lean standard work processes. Work collaboratively within a team environment in both office and manufacturing environments, requiring regular interaction with production personnel and engineering staff.
Required Qualifications
- Currently pursuing an Engineering degree in Metallurgy, Chemistry, Chemical Engineering, Materials Science, or a closely related technical discipline.
- Strong foundational knowledge of statistical data analysis, data-driven decision-making, and basic concepts of Design of Experiments (DOE).
- Proficiency in Microsoft Excel, including advanced formulas, pivot tables, and charting.
Desired Qualifications
- Familiarity with statistical software such as Minitab or JMP, or data visualization tools such as Power BI or Python, is preferred.
- Interest in learning and applying lean methodologies, standard work practices, and structured problem-solving frameworks.
- Excellent written and verbal communication skills.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.