product analyst for fashion and lifestyle

Zalando is a European technology platform for fashion and lifestyle. Its Product Analytics team supports product development through data quality, consistency, and strategic usage across digital products.

• Drive the implementation and evolution of a standardized cross-organizational product performance measurement framework;
• Establish consistent core KPIs across all business units;
• Own the technical architecture and attribution models for user value scoring;
• Develop complex data structures to quantify and weigh upper-funnel engagement actions and lower-funnel transactional behaviors;
• Advance the content flywheel into a measurable insight engine demonstrating the long-term financial, visit frequency, and business value of content experiences;
• Lead the engineering of advanced data solutions and complex analytics pipelines;
• Implement session-level tracking, cross-premise identity stitching, and methodologies to mitigate the “Winner’s Curse” in product experiments;
• Design, align, and analyze rigorous high-stakes experimentation, including A/B tests and quasi-experiments;
• Democratize insights and act as a strategic advisor to Senior Leadership Team, Product Managers, and Applied Scientists.

• 7+ Years of experience in product analytics, ideally within a large-scale e-commerce or product-led environment;
• Strong analytical and technical background;
• High proficiency in SQL;
• Deep experience using Python or R for advanced analytics and building scalable data pipelines;
• Expertise in A/B testing frameworks, user behavior analytics, experiment design, and complex attribution or scoring systems;
• Understanding of funnel performance, connecting upper-funnel engagement metrics with lower-funnel transactional performance;
• Hands-on experience with advanced causal inference methodologies, including Propensity Score Matching, Difference-in-Differences, or Synthetic Controls;
• Proven leadership capability in highly ambiguous environments, organizational model changes, and leading through influence to align senior executives;
• Ability to communicate complex technical frameworks through simple, actionable strategic recommendations;
• Experience with modern data visualization and analytics tools.

• 27 Days of holiday per year initially for full-time employees, increasing by 1 day per calendar year up to 30 days;
• 40% Discount on fashion and beauty products sold and shipped by Zalando, 30% discount on Lounge by Zalando, and external partner discounts;
• Family support, including counselling and dedicated services for parents and carers;
• Company pension scheme;
• Employee shares programme;
• Health and wellbeing options, including Wellhub;
• Mental health support and coaching;
• Development through a training platform and biannual peer-to-peer review;
• 2 Paid volunteering days per year;
• Relocation assistance subject to prior agreement;
• Candidates are asked not to include personal details such as a photo, age, or marital status in their CV.