Master Thesis Student (m/w/d)

Key responsibilities

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources) Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects Design and implement a prototype dashboard or automated reporting solution to visualize and communicate key insights Evaluate technical approaches for automated data collection, processing, and integration across multiple data sources Assess the strengths and limitations of different measurement approaches and derive recommendations for sustainable reporting and governance Document findings and present the results to relevant stakeholders Required qualifications: Student pursuing a degree in Computer Science, Software Engineering, Data Science, Business Informatics, or a related field Strong interest in software development and artificial intelligence Basic knowledge of data analytics, data visualization, or dashboard development Analytical and structured way of working, with the ability to transform data into actionable insights Good communication skills in English, both written and spoken, German language skills are a plus but not required Let’s Create Possibilities Together. Join a global community shaping the future of intelligent connectivity. At Belden, you’ll help push the boundaries of technology and write the next chapter of innovation, creating possibilities for your career, your future, and the world around you. These statements are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties and skills required of this job.