Working Student Process Engineering & Digitalization

Analyze production data and transform it into actionable insights. Support engineers in testing and validating new manufacturing processes. Develop Power BI dashboards and digital tools for performance monitoring. Participate in automation and Industry 4.0 initiatives. Collaborate with cross-functional teams to improve efficiency, quality, and productivity. Present findings and improvement ideas to engineering teams. Student in Computer Science, Automation, Data Science, Industrial Engineering, or a related field. Basic knowledge of data analysis and data visualization concepts. Experience with Excel; knowledge of Power BI, Power Apps, Power Automate, Python, SQL, or similar tools is a plus. Interest in manufacturing digitalization, automation, and Industry 4.0 solutions. Analytical and problem-solving mindset. Ability to work with large datasets and transform data into meaningful insights. Good communication and presentation skills. Self-motivated, curious, and eager to learn new technologies. Conversational English language skills.