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

Requirements

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata manipulationdata visualizationpandasmatplotlibseabornsentiment analysisML-based analysisdashboard developmentdata-driven insights

Soft Skills

analytical intereststrong communicationeagerness to learnservice orientationproblem-solving mindsetreliabilityteam playercross-functional collaborationcustomer support excellencedocumentation