HÖRMANN Digital is at the forefront of digital transformation within the HÖRMANN Group, a family-owned German SME. Our mission is to accelerate the digitization of business models across the group, with a special focus on pioneering AI solutions. One significant initiative is the HÖRMANN Buddy, an internal DSGVO-secure chat tool akin to ChatGPT, designed for internal communications. We are also in the process of launching an AI platform—a virtual app store for AI tools that will empower users across the HÖRMANN Group. This platform will host a variety of tools, each crafted to deliver measurable impact.
Our team is actively expanding beyond development into understanding user behavior and optimizing our AI tools based on real-world usage patterns. We're building comprehensive user research capabilities, developing sophisticated analytics dashboards, and establishing data-driven feedback loops. These efforts ensure our AI solutions don't just work technically—they deliver genuine value to users and continuously improve based on actual usage data.What Does the Immediate Future Look Like:
By the end of this year, we aim to deliver 2-3 significant AI use cases with measurable impact, alongside multiple smaller projects. These initiatives are not just about being technically ready—they are about achieving active usage and delivering real value to our users. This future-focused approach requires team members who can think ahead and adapt quickly to changing priorities.
As a Werksstudent, you'll be at the intersection of cutting-edge AI technology and user-centered design. You'll contribute to understanding how our AI tools are actually used, what drives user satisfaction, and how we can optimize our products for maximum impact. This role offers hands-on experience with the complete product lifecycle—from user research and data analysis to customer support and product improvement.
Why Are We Looking for a GenAI & User Research Werksstudent:
To achieve measurable impact with our AI solutions, we need deep insights into user behavior, satisfaction patterns, and usage analytics. This requires someone who can bridge technical data analysis with human-centered research methods. Additionally, direct customer interaction through our support channels provides invaluable real-world feedback that shapes our product development decisions.
- Analytics & Visualization: Python (pandas, matplotlib, seaborn, plotly); PowerBI or Grafana for dashboard creation
- Machine Learning: Scikit-learn, NLTK/spaCy for sentiment analysis; basic ML analysis techniques
- Data Sources: Application usage data, customer feedback, survey responses, support tickets
- Research Methods: Interview facilitation, survey design, qualitative data analysis
- Customer Support: Ticketing system management, documentation tools
- Cloud Platforms: AWS/Azure for data processing and dashboard hosting
- User Research & Analysis: Design and conduct user interviews, create and analyze surveys, synthesize qualitative feedback into actionable insights
- Dashboard Development: Build comprehensive usage dashboards for our AI applications, tracking key metrics like user engagement, feature adoption, and satisfaction scores
- Advanced Analytics: Perform sentiment analysis on user feedback, conduct ML-based analyses to identify usage patterns and improvement opportunities
- Customer Support Excellence: Provide first-level support through our ticketing system, ensuring responsive and helpful customer service (1h 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: Create clear, actionable reports that communicate findings to both technical and non-technical audiences
- Currently enrolled in a relevant degree program (Computer Science, Data Science, Psychology, Business Analytics, or related field)
- Strong Python Skills: Good Python programming abilities with experience in data manipulation and visualization libraries (pandas, matplotlib, seaborn); willingness to quickly learn additional tools like PowerBI or Grafana
- Analytical Interest: Curiosity about both numbers/data analysis and understanding people through interviews and surveys
- Strong German Communication: Native-level German or C1+ for effective customer interactions; good English for international team collaboration
- Eagerness to Learn: Genuine interest in AI technologies and how people actually use them in their daily work
- Service Orientation: Positive attitude toward customer support activities; sees customer interaction as valuable learning opportunity
- Problem-Solving Mindset: Enjoys figuring things out and asking good questions when stuck
- Reliability: Can commit to consistent daily customer service hours (1h Mon-Thu) alongside flexible project work
- Team Player: Comfortable collaborating with developers and product managers, open to feedback and mentoring
This isn't just another data analysis position—you'll be shaping the future of AI adoption within a traditional German business environment. You'll gain rare insights into how AI transforms established workflows, directly influence product decisions through your research, and build expertise at the intersection of AI technology and human behavior. The customer support component provides invaluable direct user contact that most research roles lack, giving you unfiltered access to real user pain points and success stories.
- Technical Skills: Advanced Python, ML techniques, modern visualization tools
- Research Expertise: User research methodologies, data storytelling, behavioral analysis
- Business Acumen: Understanding AI adoption patterns in traditional industries
- Communication: Client-facing experience, cross-functional collaboration
- Product Thinking: Contributing to product strategy based on user insights
At HÖRMANN Digital, you'll experience the unique opportunity to drive AI adoption in a family-owned business environment where your insights directly shape product decisions. We value curiosity, analytical rigor, and the ability to see both the technical and human sides of AI implementation. This role offers exceptional learning opportunities at the forefront of practical AI application, with the support and mentorship needed to develop both technical and strategic thinking skills.
Your work will have immediate, measurable impact—and you'll see firsthand how thoughtful user research and data analysis can transform innovative technology into truly valuable solutions.
