Werkstudent (w/m/d) - GenAI User Research & Support

Hoermann Gmbh; Germany (OH); On-site; USD 13,072 - 19,608; Full time

Benefits offered by this job

Exceptional learning opportunities

Support and mentorship

Job summary

Hoermann Gmbh seeks a Werksstudent in GenAI and User Research to contribute to AI tool development and user analysis.

This is an opportunity to engage in user research, data analysis, and support within a dynamic team focusing on AI implementations. Ideal for those excited about the intersection of AI technology and user experience.

Join us to drive AI adoption in a family-owned business, enabling meaningful product development through hands-on research.

Qualifications

• Enrolled in Computer Science, Data Science, Psychology, Business Analytics, or related field.
• Good Python programming abilities with data manipulation skills.
• Curiosity about both data analysis and understanding user behavior.

Responsibilities

• Design and conduct user interviews and analyze user feedback.
• Build comprehensive usage dashboards for AI applications.
• Provide first-level customer support and manage ticketing systems.

Skills

Strong Python Skills

Analytical Interest

Strong German Communication

Eagerness to Learn

Service Orientation

Problem-Solving Mindset

Team Player

Education

Currently enrolled in a relevant degree program

Tools

Python (pandas, matplotlib, seaborn)

PowerBI or Grafana

AWS/Azure

Job description

Who we are:

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.

What Are the Topics That Our Software Development Team is Currently Working On:

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.

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.

What Does Your Student Journey Look Like:

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.

Tech Stack & Tools:

• 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

Your Tasks:

• 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

Your Profile:

• 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

Why This Role is Unique:

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.

Your Growth Opportunities:

• 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

Why Join Us:

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.