Principal Product Analyst (all genders)

Role: Principal Product Analyst Team: Product Analytics team, serving as the chief advocate for data quality, consistency, and strategic usage in product development. Responsibilities: - Drive the implementation and evolution of a standardized cross-organizational product performance measurement framework, establishing consistent core KPIs (e.g., Weekly Active Users, Conversion Rate, Overall Evaluation Criterion) across all business units. - Own the technical architecture and attribution models for user value scoring, developing 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 that proves how content experiences translate into long-term financial, visit frequency, and business value. - Lead the engineering of advanced data solutions and complex analytics pipelines, including 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 for sustainable growth. - Democratize insights and act as a strategic advisor to Senior Leadership Team, Product Managers, and Applied Scientists. Qualifications: - 7+ years of experience in product analytics, ideally in large-scale e-commerce or product-led environments. - Strong analytical and technical background with high proficiency in SQL and deep experience using Python or R for advanced analytics and building scalable data pipelines. - Expert in A/B testing frameworks, user behavior analytics, experiment design, and managing complex attribution or scoring systems. - Dual understanding of funnel performance, mapping upper-funnel engagement metrics to lower-funnel transactional performance. - Hands-on experience with advanced causal inference methodologies (e.g., Propensity Score Matching, Difference-in-Differences, Synthetic Controls). - Proven leadership capability in ambiguous environments, leading through influence to align senior executives. - Master storyteller with data, communicating complex technical frameworks into simple, actionable strategic recommendations. - Experience with modern data visualization and analytics tools. What We Offer: - 27 days of holiday a year to start (+1 day per calendar year up to 30 days) - 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners - 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 training platform and biannual peer-to-peer review - 2 paid volunteering days a year - Relocation assistance (subject to prior agreement)