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Data Analytics Intern

Job in Plymouth, Wayne County, Michigan, 48170, USA
Listing for: Freudenberg Sealing Technologies
Apprenticeship/Internship position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 40000 - 52000 USD Yearly USD 40000.00 52000.00 YEAR
Job Description & How to Apply Below

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments.

We at Freudenberg-NOK Sealing Technologies run the business operations of Freudenberg Sealing Technologies (FST) in the Americas. Being part of the global Freudenberg Group, our company is a leading producer of advanced sealing technologies for automotive and general industries. Freudenberg-NOK Sealing Technologies is a joint venture between Freudenberg and NOK Corp. in Japan, is headquartered in Plymouth, MI, operates more than 20 facilities and employs about 4,700 people across the Americas.

Benefits
  • Diversity & Inclusion:
    We focus on providing an inclusive environment and recognize our diversity contributes to our success.
  • Personal Development:
    We offer a variety of trainings to ensure you can develop in your career.
  • International Opportunities:
    Grow in your career through international exchange and global job opportunities.
  • Safe Environment:
    We strive to ensure safety remains a top priority, and provide a stable environment for our employees.
  • Sustainability & Social Commitment:
    We support social and sustainable projects and encourage employee involvement.

Plymouth, MI

On-Site

Freudenberg-NOK General Partnership

Data Analytics Intern Responsibilities
  • Develop software solutions and automation tools that improve engineering workflows and accelerate product development activities.
  • Design and implement data pipelines that collect, transform, and analyze large engineering datasets to generate meaningful insights.
  • Create dashboards, visualizations, and reporting tools using Power BI and other technologies to support product validation and decision-making.
  • Program and integrate laboratory and test equipment while helping automate data collection and testing processes.
  • Apply statistical analysis techniques to identify trends, solve technical challenges, and support engineering recommendations.
  • Partner with engineers across North America and Europe to advance new product development programs and continuous improvement initiatives.
  • Contribute to Python- and C-based applications while documenting processes, validating solutions, and supporting manufacturing operations.
Qualifications
  • Current pursuit of a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Computer Engineering, Mechanical Engineering, or a related technical field.
  • Strong programming skills in Python with the ability to develop, troubleshoot, and optimize software solutions.
  • Experience using Power BI (including DAX and Power Query) and Microsoft Excel to analyze, visualize, and manage data.
  • Knowledge of statistical analysis concepts and an interest in using data to solve real-world engineering problems.
  • Familiarity with C programming, SQL databases, Git, or other software development tools and technologies.
  • Strong analytical thinking, problem-solving ability, and attention to detail when working with complex datasets.
  • Excellent communication and collaboration skills with a desire to learn in a fast-paced, global engineering environment.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

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