Praktikum​/Abschlussarbeit Datenanalyse & Prozessoptimierung; m​/w​/d

Industrial Data Analyst

Analyze industrial production processes using real process and machine data to derive informed insights for their development.

Understand physical relationships in technical processes based on data and develop a deep understanding of the behavior of machines and systems.

Identify optimization potentials, assess their technical and economic impact, and make data-driven improvements measurable.

Develop and validate models to describe and predict machine and process behavior using real production data.

Conceptualize and implement data-driven optimization approaches on our Industrial Internet of Things platform.

Collaborate closely with colleagues from production, automation technology, and data science to bring together different perspectives and develop solutions with direct practical relevance.

What convinces us:

You are studying mechanical engineering, electrical engineering, mechatronics, or a comparable technical course.

You already have initial experience with Python and common data analysis or modeling tools, such as Databricks or Azure.

You want to not only understand technical processes but also make them visible and further develop them with the help of data.

You approach questions analytically and find pragmatic solutions for complex relationships.

Independent work comes easily to you, and in exchange with others, you actively contribute your ideas.