Engineering Data Analytics & Automation Intern

Freudenberg Group; Plymouth (MI); On-site; USD 28,000 - 41,000; Part time

Job summary

Freudenberg Group is seeking an Intern Incubators in Plymouth, MI, for part-time engagement to develop software solutions and automation tools supporting engineering workflows and product development.

You will design data pipelines, create Power BI dashboards, and assist with data analysis to generate actionable insights. The role involves collaborating with engineers in North America and Europe and contributing to Python- and C-based applications while documenting processes.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field such as CS, Data Science, or Engineering.
• Strong Python programming skills with troubleshooting and optimization ability.
• Experience with Power BI, Excel for data analysis and visualization.
• Knowledge of statistics and an interest in applying data to real-world engineering problems.

Responsibilities

• Develop software solutions and automation tools to improve engineering workflows.
• Design data pipelines to transform and analyze large datasets for insights.
• Create dashboards and reporting tools using Power BI to support validation and decisions.
• Program and integrate lab equipment and automate data collection and testing processes.
• Collaborate with engineers across NA and Europe on product development and improvements.

Skills

Python

Power BI

Excel

Statistics

Data analysis

C programming

SQL

Git

Communication

Education

Bachelor's or Master's in a technical field

Tools

Git

SQL databases

Job description

Freudenberg Group is seeking an Intern Incubators in Plymouth, MI, for part-time engagement to develop software solutions and automation tools supporting engineering workflows and product development.

You will design data pipelines, create Power BI dashboards, and assist with data analysis to generate actionable insights. The role involves collaborating with engineers in North America and Europe and contributing to Python- and C-based applications while documenting processes.