Principal Product Analyst (all genders)

Role: Data is a critical pillar of product development. The Product Analytics team advocates for data quality, consistency, and strategic usage. The Principal Product Analyst will drive strategy, evaluation, and optimization of digital products, defining how user interactions are valued, measuring success, and linking product features to business outcomes. Responsibilities: - Implement and evolve a standardized cross‑organizational product performance measurement framework, establishing consistent core KPIs (e.g., Weekly Active Users, Conversion Rate, Overall Evaluation Criterion). - Own technical architecture and attribution models for user value scoring, building complex data structures for upper‑funnel engagement and lower‑funnel transactional behaviors. - Advance the content flywheel into a measurable insight engine to demonstrate long‑term financial and visit frequency value. - Lead engineering of advanced data solutions and analytics pipelines, including session‑level tracking, identity stitching, and methods to mitigate the “Winner’s Curse” in experiments. - Design, align, and analyze high‑stakes experimentation (A/B tests, quasi‑experiments) to drive sustainable growth. - Democratize insights and act as strategic advisor to senior leadership, product managers, and applied scientists. Qualifications: - 7+ years of product analytics experience, preferably 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 scalable data pipelines. - Expertise in A/B testing frameworks, user behavior analytics, experiment design, and complex attribution or scoring systems. - Ability to map 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 in ambiguous environments, influencing senior executives. - Excellent storytelling with data, communicating complex technical frameworks into actionable recommendations. - Experience with modern data visualization and analytics tools. What We Offer: - 27 days of holiday per year (increasing up to 30 days). - 2 paid volunteering days annually. - Employee shares programme. - 40% discount on Zalando fashion and beauty products, 30% discount on Lounge by Zalando, and external partner discounts. - Relocation assistance (subject to agreement). - Family services, health and wellbeing options, mental health support and coaching. - Opportunities for development through training platforms and biannual peer‑to‑peer reviews.