Hybrid Working Student – GenAI User Research & Support

at Hörmann

• Job title: Working Student – GenAI User Research & Support
• Job type: Part Time
• Experience level: Entry level
• Salary: €16 - €20 per hour
• Degree requirement: Bachelor's Degree
• Tech skills: Grafana, Pandas, Python
• Location requirements: Hybrid, Munchen, Germany

About the role

• GenAI User Research & Support Werksstudent at HÖRMANN Digital focuses on AI tools and user satisfaction. Collaborate on user research, analytics, and customer support tasks to enhance product impact.

Responsibilities

• User research & analysis: design and conduct user interviews, create and analyze surveys, and synthesize qualitative feedback into actionable insights
• Dashboard development: build comprehensive usage dashboards for our AI applications, tracking key metrics such as user engagement, feature adoption, and satisfaction scores
• Advanced analytics: perform sentiment analysis on user feedback and carry out machine-learning-based analyses to identify usage patterns and opportunities for improvement
• Customer support excellence: provide first-level support via our ticketing system, ensuring responsive and helpful customer service (1 hour daily, Mon–Thu)
• Data-driven insights: transform raw usage data into strategic recommendations for product development and user experience optimization
• Cross-functional collaboration: work closely with developers, product managers, and stakeholders to implement research findings
• Documentation & reporting: produce clear, actionable reports that communicate findings to both technical and non-technical audiences

Requirements

• Currently enrolled in a relevant degree program (Computer Science, Data Science, Psychology, Business Analytics, or related field)
• Strong Python skills: solid Python programming ability with experience in data manipulation and visualization libraries (pandas, matplotlib, seaborn); willingness to quickly learn additional tools such as Power BI or Grafana
• Analytical interest: curiosity about quantitative data analysis as well as qualitative research through interviews and surveys
• Strong German communication: native-level German or C1+ German for effective customer interactions; good English for collaboration with an international team
• Eagerness to learn: genuine interest in AI technologies and in how people actually use them in their daily work
• Service orientation: positive attitude toward customer support activities and a view of customer interaction as a valuable learning opportunity
• Problem-solving mindset: enjoys troubleshooting and asking the right questions when stuck
• Reliability: able to commit to consistent daily customer service hours (1 hour Mon–Thu) alongside flexible project work
• Team player: comfortable collaborating with developers and product managers, open to feedback and mentoring