Werkstudent im Bereich Industrial Engineering und Digitalisierung (w/m/div.)
Core
Analyze manufacturing and logistics processes, derive KPIs from production data, and implement practical improvements in production alongside Industrial IoT solutions.
Role type
Industrial Engineering and Digitalization Student (Werkstudent)
Builds
Production process improvements, Industrial IoT solutions, database concepts for machine data, and visualized insights.
Domain
Industrial automation, manufacturing, logistics, and digitalization.
Required skills
Process analysis, data analysis, database design, visualization, documentation, project implementation
Preferred skills
Industrial IoT, programming (Python, Java, R), SQL, SAP, Power BI, Tableau
Technologies
Power BI, Tableau, Python, Java, R, SQL, SAP, Industrial IoT
Responsibilities
Analyze manufacturing and logistics workflows to identify improvement potentials, derive KPIs from production data, implement process improvements in production, support the selection and testing of hardware and software for Industrial IoT, develop database concepts for machine data, visualize insights using tools like Power BI or Tableau, and document process workflows.
Seniority
Student (Werkstudent), 15 hours/week