Manufacturing Data & Analytics Co-Op - Spring 2027
At a glance
Junior Data Analysis & BI role at Flextronics. USA, IL, Libertyville · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Power BI views that track OEE, downtime, scrap and cycle time across manufacturing operations
- Write SQL to pull production records, then use Python to analyze them and automate recurring work
- Create and update SPC charts, including X-bar, R and Cpk analysis
- Help connect coiler data collection and contribute to predictive maintenance analysis
- Join team discussions and assist with project tasks
What you bring
- You are a junior or senior pursuing a bachelor's degree in industrial engineering, data science or another listed major
- You are enrolled at an accredited four-year university and have a GPA of at least 3.0
- You can analyze and automate data with Python, write SQL queries and build dashboards in Power BI
- You understand basic statistics and manufacturing measures such as OEE, downtime or scrap
Who this fits
This co-op suits a junior or senior student seeking hands-on manufacturing data work. You must work in person for forty hours per week during the Spring 2027 assignment at the Libertyville, Illinois site. Relocation assistance is unavailable, and visa sponsorship is not offered.
From the employer
Job Summary


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
Application Deadline:
Applications for this job position will be accepted for at least five days following the job posting start date below and continuing until the end date below or until the position is filled. This posting may close sooner due to application volume.
Job Posting Start Date 09-18-2026 Job Posting End Date 09-25-2026

The base pay range for this position is provided below. The final base rate offered will be determined using job-related, non-discriminatory criteria, including but not limited to experience, qualifications, geographic location, education, external market data, and internal equity.
Pay Range $20 - $34 HourlyJob Category
InternRelocation: Not eligibleIs Sponsorship Available?
NoFlex 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).