Requirements

• 5+ years of experience in Product Analytics or Data Analytics, ideally in a fast-paced, product-driven environment
• Strong technical expertise in analytics stack: advanced SQL (BigQuery preferred), data visualization tools (Tableau, Google Data Studio), and A/B testing platforms (Optimizely, Adobe Target)
• Experience with event tracking and instrumentation tools (Google Analytics, Adobe Analytics, Mixpanel, or similar)
• Understanding of statistical concepts, experimental design, and A/B testing methodologies
• Excellent stakeholder management and collaboration skills — experienced working cross-functionally with product, engineering, data science, and business teams
• AI tool literacy — comfortable using AI tools (Claude, Gemini) for analysis and documentation

Nice to Haves

• Data manipulation in Python or R
• Experience with data scheduling and orchestration tools (Airflow, GitHub, dbt)
• Familiarity with big data infrastructure, data pipelines, and ETL
• Experience with causal inference or quasi-experimental methods
• Quick commerce, e-commerce, or grocery delivery domain knowledge
• Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related field)

What You'll Be Doing

• Partner closely with Local Shops product managers, engineers, and data scientists to define hypotheses, KPIs, and success criteria for product and operational initiatives
• Own the full analytics lifecycle: defining tracking instrumentation, running data discovery on product usage and operational metrics, designing experiments, assessing impacts, and building dashboards
• Shape product roadmaps and feature prioritization through data-driven insights, directly impacting the scaling of Local Shops
• Translate complex data into clear, compelling narratives for stakeholders at all levels
• Collaborate with cross-functional teams to define hypotheses, success metrics, and strategic initiatives for Local Shops product line
• Conduct in-depth analyses of operational and product performance metrics to identify trends, inefficiencies, and growth opportunities
• Support implementation of tracking and instrumentation strategies while ensuring data integrity and completeness
• Design and execute experiments (A/B tests, quasi-experiments) to evaluate product features, pricing strategies, and operational changes
• Establish causal inference approaches to understand drivers of key metrics and business outcomes
• Generate business intelligence solutions and dashboards to communicate insights clearly to PMs, leadership, and cross-functional stakeholders
• Document analytical frameworks, KPIs, and insights to ensure smooth continuity with the permanent analyst before contract end

Perks and Benefits

• Hybrid working model with 2 days per week in the beautiful Berlin campus
• 27 days holiday with additional days on 2nd and 3rd year of service
• Support for personal development and career growth including €1,000 educational budget, language courses, parental support, and Udemy Business access
• Health benefits such as health checkups, meditation, and gym offerings
• Financial benefits including Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, corporate pension plan
• Digital meal and food vouchers for team gatherings and meals
• Relocation support and resources for moving to Berlin