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About the Role

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 and 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.

Responsibilities

Drive the implementation and evolution of a standardized cross-organizational product performance measurement framework, establishing consistent core KPIs across all business units.
Own the technical architecture and attribution models for user value scoring, developing complex data structures to quantify and weigh user interactions.
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 designed to drive sustainable growth.
Democratize insights and act as a strategic advisor to Senior Leadership Team, Product Managers and Applied Scientists.

Requirements

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.
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 to lower-funnel transactional performance.
Hands-on experience applying advanced causal inference methodologies when randomized controlled trials are unfeasible.
Proven leadership capability to excel in highly ambiguous environments, shift organizational models, and lead through influence.
Mastery in communicating complex technical frameworks into simple, actionable strategic recommendations.
Experience working with modern data visualization and analytics tools to scale data-driven accountability.

Skills

SQL
Python
R
A/B testing
User behavior analytics
Experiment design
Attribution systems
Scoring systems
Causal inference methodologies
Data visualization

Experience Level

7+ years

Benefits

27 days of holiday a year (+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
Family services
Health and wellbeing options
Mental health support and coaching
Training platform
Biannual peer-to-peer review

About the Company

Zalando's 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.
Diverse teams fuel innovation and creativity.
Actively seek to reduce bias in hiring and employment processes, focusing on qualifications, skills, and contributions.
Committed to providing an exceptional and accessible candidate experience for everyone.

Equal Opportunity

If you think you have what it takes, we encourage you to apply even if you don’t meet every single requirement.
We actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions.
Please refrain from including personal details such as your photo, age, or marital status in your CV.
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.