Principal Product Analyst (all genders)

Zalando; Berlin; Vor Ort; EUR 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

27 days holiday

Fashion/beauty discounts

Family support and pension

Employee shares program

Wellbeing options

Mental health support

Training platform

Volunteer days

Relocation assistance

Zusammenfassung

Zalando in Berlin is seeking a data-driven Product Analytics leader to shape how we measure product value and tie features to business outcomes. You will define core KPIs, build scalable data pipelines, and partner with product, engineering, and science teams.

The role blends analytical depth with strategic influence, leading experiments, causal methods, and storytelling with data to accelerate growth across models. You will mentor teams and translate insights into actionable recommendations.

Qualifikationen

• 7+ years in product analytics, ideally in large-scale e-commerce.
• Strong SQL and Python or R for advanced analytics.
• Expert in A/B testing frameworks, attribution or scoring systems.
• Dual understanding of funnel metrics from upper to lower funnel.
• Experience with causal inference methods like PSM, DiD, or Synthetic Controls.
• Proven leadership to navigate ambiguity and influence executives.
• Storytelling with data to drive strategic recommendations.
• Experience with modern data visualization and analytics tools.

Aufgaben

• Drive implementation of a cross-organizational product performance framework.
• Own architecture and attribution models for user value scoring.
• Advance content flywheel into a measurable insights engine.
• Lead engineering of advanced data solutions and analytics pipelines.
• Design and analyze rigorous high-stakes experimentation including A/B tests.
• Democratize insights and advise Senior Leadership, Product Managers and Scientists.

Kenntnisse

SQL

Python

R

A/B testing

Experiment design

Data visualization

Leadership

Jobbeschreibung

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.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)

• Drive the implementation and evolution of a standardized cross-organizational product performance measurement framework, eliminating metric fragmentation by establishing consistent core KPIs (such as 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 both upper-funnel engagement actions (e.g., 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 Senior Leadership Team, Product Managers and Applied Scientists.

WE'D LOVE TO MEET YOU IF

• You have 7+ years of experience in product analytics, ideally within a large‑scale e-commerce, or product‑led environment.
• You possess a 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.
• You are an expert in A/B testing frameworks, user behavior analytics, experiment design, and managing complex attribution or scoring systems.
• You bring a dual understanding of funnel performance, mapping upper‑funnel engagement metrics (views, watch time, retention) to lower‑funnel transactional performance (conversion rate, contribution margin impact).
• You have hands‑on experience applying advanced causal inference methodologies (such as Propensity Score Matching, Difference‑in‑Differences, or Synthetic Controls) when randomized controlled trials are unfeasible.
• You have proven leadership capability to excel in highly ambiguous environments, shift organizational models, and lead through influence to align senior executives.
• You are a master storyteller with data, confident in communicating complex technical frameworks into simple, actionable strategic recommendations.
• You have experience working with modern data visualization and analytics tools to scale data‑driven accountability.

OUR OFFER

• 27 days of holiday a year to start for full‑time employees (+1 day for every 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 our training platform and biannual peer‑to‑peer review
• 2 paid volunteering days a year
• Relocation assistance (subject to prior agreement)

INCLUSIVE BY DESIGN

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!

At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle - one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and 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. To support this, 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