Principal Product Analyst (all genders)

Role & Team

Data is a critical pillar of our product development process, and the Product Analytics team serves as the chief advocate for its quality, consistency, and strategic usage.

We are seeking a data‑driven, user‑centric professional to drive the strategy, evaluation, and optimization of our digital products.

In this role, you will define how we value user interactions, measure success, and tie product features directly to overarching business outcomes.

Diversity & Inclusion

We encourage you to apply even if you don’t meet every single requirement.

At Zalando, our vision is to be the leading pan‑European ecosystem for fashion and lifestyle e‑commerce – one that thrives on diversity and is truly inclusive by design.

We believe that diverse teams fuel innovation and creativity, and we actively seek talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions.

We kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone.

If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs. zalando. com/en/our-culture/diversity-and-inclusion

Responsibilities

• Drive the implementation and evolution of a standardized, cross‑organizational product performance measurement framework, eliminating metric fragmentation by establishing consistent core KPIs (e. g., Weekly Active Users, Conversion Rate, and the 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 (browsing, saving, content interaction) and lower‑funnel transactional behaviors.
• Advance the content flywheel into a measurable insight engine that definitively 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 designed to drive sustainable growth across diverse business models.
• Democratize insights and act as a strategic advisor to the Senior Leadership Team, Product Managers, and Applied Scientists.

Qualifications

• 7+ years of experience in product analytics, ideally within a large‑scale e‑commerce or product‑led environment.
• 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.
• Expertise 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 (views, watch time, retention) to lower‑funnel transactional performance (conversion rate, contribution margin impact).
• Hands‑on experience applying advanced causal inference methodologies (Propensity Score Matching, Difference‑in‑Differences, Synthetic Controls) when randomized controlled trials are unfeasible.
• Proven leadership capability to excel in highly ambiguous environments, shift organizational models, and lead through influence to align senior executives.
• Master storyteller with data, confident in communicating complex technical frameworks into simple, actionable strategic recommendations.
• Experience working with modern data visualization and analytics tools to scale data‑driven accountability.

Benefits

• 27 days of holiday a year for full‑time employees (+1 day for every calendar year up to 30 days).
• 2 paid volunteering days a year.
• Employee shares programme.
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners.
• Relocation assistance available (subject to prior agreement).
• Family services, including counselling and support.
• Health and wellbeing options (including Wellhub, formerly Gympass).
• Mental health support and coaching available.
• Training platform and biannual peer‑to‑peer review for development.
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