Quality Engineering Intern - Summer 2027

OTTO Engineering•Carpentersville, IL

About The Position

OTTO’s Quality Engineering Intern supports the Quality Engineering team by reviewing supplier and internal quality data, identifying reporting gaps and trends, and helping develop repeatable monthly reporting and Power BI dashboards. The internship focuses on consistent measurement of supplier performance and quality activities, verification of reported data, and clear documentation of reporting methods. The intern will collaborate with Purchasing and teams using the reports, then deliver a summary of findings and hand off the work to Quality Engineering.

Requirements

Currently pursuing a degree in engineering, manufacturing, supply chain management, data analytics, or a related field.
Proficiency in Excel, including pivot tables, lookups, and charts.
Strong attention to detail and the ability to verify data and explain findings clearly.
Must be authorized to work for any employer in the United States; visa sponsorship or transfer is not available.

Nice To Haves

Familiarity with Power BI, Power Query, ERP systems, or basic quality tools.

Responsibilities

Review supplier scorecards, quality reports, and source data to identify reporting gaps, inconsistent calculations, and manual steps.
Help define and validate supplier performance measures, including defective parts per million (PPM), rejected lots, repeat nonconformances, and supplier corrective action response and closure times.
Coordinate with Purchasing to include on-time delivery data where available.
Analyze supplier performance by supplier, commodity, part number, and defect category where the data supports it.
Summarize recurring issues and identify suppliers or commodities that may warrant further review.
Enhance a Power BI dashboard showing performance against targets, trends over time, and overdue supplier corrective actions.
Support monthly quality reporting by consolidating measures such as incoming inspection turnaround, internal and supplier nonconformances, and corrective action aging.
Verify reported figures against source records.
Review prototype reports with the teams that will use them, incorporate feedback, and document how to refresh reports and verify data.
Prepare a repeatable monthly quality report with consistent definitions and trend views.
Create a metric reference guide covering calculations, data sources, reporting frequency, and handling of missing or incomplete data.
Prepare a final summary of supplier trends, data gaps, and recommended next steps, and hand off the work to Quality Engineering.