Manufacturing Data & Analytics Co-Op - Spring 2027

Flex

Libertyville (IL)

On-site

USD 25,000 - 36,000

Full time

7 days ago
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Job summary

Flex is looking for a Manufacturing Data & Analytics Co-Op to be based at our Libertyville, IL site. The student will support manufacturing data analysis, OEE tracking, dashboard development, and SPC charting across molding and coiling operations while collaborating with cross‑functional teams.

Responsibilities include developing Power BI dashboards, writing SQL queries, and using Python for data analysis and automation scripts.

Qualifications

  • Pursuing a Bachelor’s degree in one of the specified engineering or data-related majors.
  • Proficiency in Python for data analysis and automation.
  • Strong SQL skills for data extraction.
  • Experience with Microsoft Power BI for dashboards.
  • Basic knowledge of statistics.

Responsibilities

  • Develop Power BI dashboards for OEE, downtime, scrap, and cycle time.
  • Write SQL queries to extract production data.
  • Use Python for data analysis and automation scripts.
  • Create and maintain SPC charts (X-bar, R, Cpk).
  • Support coiler data collection integration and predictive maintenance analytics initiatives.

Skills

Python
SQL
Power BI
Statistics
Data analysis
OEE

Education

Bachelor's degree (Industrial Engineering / Data Science / Computer Engineering / Systems Engineering)

Tools

Power BI
SQL

Job description

Flex is the diversified manufacturing partner of choice that helps market‑leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment.

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Manufacturing Data & Analytics Co‑Op located in our Libertyville, IL site.

Reporting to Process & Automation Engineering Team, the student will support manufacturing data analysis, OEE tracking, dashboard development, and SPC charting across molding and coiling operations while collaborating with cross‑functional teams.

What a typical day looks like:
  • Develop Power BI dashboards for OEE, downtime, scrap, and cycle time
  • Write SQL queries to extract production data
  • Use Python for data analysis and automation scripts
  • Create and maintain SPC charts (X‑bar, R, Cpk analysis)
  • Support coiler data collection integration
  • Assist with predictive maintenance analytics initiatives
  • Attend team meetings to support project work as needed
Student qualities we’re seeking for this Co‑Op assignment:
  • Junior/Senior student pursuing Bachelors degree in Industrial Engineering, Data Science, Computer Engineering, or Systems Engineering major
  • Proficiency in Python for data analysis and automation
  • Strong SQL skills for data extraction
  • Experience with Microsoft Power BI for dashboards
  • Basic knowledge of statistics
  • Understanding of manufacturing KPIs (OEE, downtime, scrap, cycle time)
  • Exposure to data collection and predictive maintenance concepts
  • Previous manufacturing internship experience a plus!
Co‑Op Program Requirements:
  • Ability to work 40 hours/week (in person) during the Spring 2027 co‑op assignment
  • Currently enrolled in 4‑year accredited university
  • 3.0 GPA

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We’re happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we’ll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

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