Process Engineering&Data Analytics Intern -FF

The Partner Companies•Chicago, IL

9d•$27 - $28•Hybrid

About The Position

The Process Engineering & Data Analytics Intern supports the Process Engineering team by extracting, analyzing, and interpreting manufacturing data to support process optimization, continuous improvement, and engineering projects. The position assists with process mapping, data analysis, designed experiments, root cause investigations, and documentation while maintaining compliance with company quality management system requirements and applicable regulatory standards, including ISO 9001, AS9100, and ITAR where applicable.

Requirements

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.
Interest in learning and applying lean methodologies, standard work practices, and structured problem-solving frameworks.
Excellent written and verbal communication skills.

Nice To Haves

Familiarity with statistical software such as Minitab or JMP, or data visualization tools such as Power BI or Python, is preferred.

Responsibilities

Extract, clean, and analyze daily manufacturing data to monitor key process metrics.
Identify operational trends, performance anomalies, and bottleneck areas to support stable manufacturing operations.
Assist the Process Engineer in planning and executing Designed Experiments (DOE).
Organize baseline data, track variables during trials, and compile 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, including 5-Why, DMAIC, and PDCA methodologies, by gathering historical data and generating data visualizations to identify root causes of yield loss or quality variations.
Prepare charts, dashboards, and technical reports to communicate engineering findings to technical and non-technical personnel.
Participate in and document safety improvement audits, risk assessments, and lean standard work processes on the production floor.
Work is performed in both office and manufacturing environments.
Requires regular interaction with production personnel and engineering staff.
May require standing, walking, and observing manufacturing processes on the production floor in accordance with established safety requirements.
Ability to work collaboratively within a team environment while independently managing assigned data-gathering tasks.