Product Analyst (m/f/d)

• Develop a deep understanding of user behavior in the exciting field of fast grocery delivery and influence our Product roadmap to continually improve our user experience;
• Own end-to-end analytics cycle:

  • Collaborate with stakeholders and translate their business needs into data requirements behind dashboards, deep-dive analyses & experiment set-ups;

  • Develop and evolve tracking concepts to ensure we collect accurate and reliable data;

  • Build and transform raw event stream data from various sources into our data warehouse, and therefore enable driving actionable insights & enriching user profiles;

  • Analyze post-order user journeys in close collaboration with Operations to optimize delivery experience touchpoints as well as improve satisfaction and retention;

  • Design, conduct and evaluate A/B tests and drive experimentation-led Product development;

  • Communicate findings clearly through impactful visualizations and concise storytelling tailored to stakeholders;

• Adopt a product-centric approach—prioritizing measurable business impact and informed decision-making over simply completing tasks or producing reports.

• University degree in the quantitative field (STEM, Economics, Analytics, Data Science) or comparable qualification with strong statistics background;
• 2+ years of experience in an analytical role (e.g. Product Analyst / Data Analyst);
• Advanced knowledge of SQL, programming experience in Python/R for data aggregations & visualizations, data analysis'
• Enthusiastic about understanding user behaviour and how to build great digital (customer-centric) products;
• Very good communication skills in English (spoken & written); German is a plus;

Good to have:

• Understanding of product life cycle and how it translates into end-to-end pipelines for Analytics:

  • familiarity with product tracking, facilitated by the usage of tools similar but not limited to Avo/Segment/Google Analytics/Adjust/AppsFlyer etc;

  • knowledge of analytics engineering principles for efficient, economical & scalable data modelling (BigQuery/Redshift/Databricks/Snowflake + dbt);

  • experience with visualisations in Tableau/PowerBI/Mixpanel/Looker.

• A €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals;
• 26 days of vacation, +1 day every year up to a maximum of 30 days;
• A mobility budget of 35 EUR per month for Deutschland Ticket subsidy;
• A cool discount off your personal Flink orders; be the first to test out new products!
• A discount on your Urban Sports Club membership;
• Attractive company pension options;
• Unlimited access to an e-learning and development platform, MyAcademy, including online German courses;
• Online discounts with Corporate Benefits and Future Bens;
• A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance.

It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.