Principal Product Analyst (all genders)

DUDE CHEM; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Holiday entitlement

Employee shares programme

Wellbeing & health programs

Pension scheme

Relocation assistance

Zusammenfassung

Zalando is seeking a data-driven Product Analytics leader to define and measure how product features impact business outcomes. You will own the measurement framework, attribution models, and sophisticated data pipelines while partnering with executives to translate insights into strategic action.

You will lead cross-functional teams, design rigorous experiments, and champion data storytelling through modern visualization tools to drive growth across diverse business models.

Qualifikationen

• 7+ years of experience in product analytics or equivalent
• Strong analytical and technical background with SQL, Python or R
• Expert in A/B testing frameworks and experiment design
• Experience with complex attribution or scoring systems
• Leadership in ambiguous environments and influence at senior levels
• Storytelling with data and communicating complex ideas clearly
• Experience with data visualization and analytics tools

Aufgaben

• Define and govern standardized product performance metrics across the org
• Own architecture and attribution models for user value scoring
• Develop and operationalize content-driven insight engines linking experiences to business value
• Engineer advanced data solutions and analytics pipelines (session tracking, identity stitching)
• Lead rigorous experimentation including A/B tests and quasi-experiments
• Advise Senior Leadership, Product Managers and Applied Scientists with strategic insights

Kenntnisse

SQL

Python/R

A/B testing

Attribution modeling

Leadership

Storytelling with data

Data visualization

Tools

Python

SQL

R

Jobbeschreibung

THE ROLE & THE 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 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

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we 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