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Process Engineering&Data Analytics Intern -FF
Fotofab
Chicago, USA
Internship, Part Time
Entry
Onsite
USD 27-28 hourly / hour
Discovered 1 weeks ago
Microsoft ExcelMinitabJMPPower BIPython
Free
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Microsoft ExcelMinitabJMP
Role Overview
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.
Key Skills for This Role
Microsoft ExcelMinitabJMPPower BIPython
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Position Summary
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.
Key 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.
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