Data Analyst - Performance Marketing

Location
Berlin
Contract
Full time
Job Category

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

THE ROLE & THE TEAM
The Performance Marketing department is dedicated to deepening relationships with consumers outside Zalando by delivering relevant and engaging digital ads. We drive profitable growth through data-driven decision-making, while prioritizing customer privacy and leveraging innovative technology.

As a Data Analyst, you'll join a highly skilled analytics team that is transforming from a reactive support function to a proactive, strategic partner. You’ll move beyond answering ad-hoc requests to owning analytical projects end-to-end, building scalable solutions that drive impact. You will work closely with marketing professionals, product managers, engineers, and applied scientists to evaluate and optimize marketing investments and performance across various advertising channels.  

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

  • Lead analytical projects on key initiatives, owning the process from hypothesis generation and measurement design to analysis and presenting clear, actionable insights

  • Partner with applied scientists to develop and improve existing marketing performance measurement models and validate the business impact of algorithmic changes 

  • Design and execute rigorous testing and experimentation (A/B testing, incrementality testing, etc.) to accurately measure marketing effectiveness and guide investment decisions

  • Conduct exploratory data analysis to identify new optimization opportunities and formulate hypotheses for our strategic focus areas.

  • Collaborate with engineering and product teams to ensure data accuracy and build robust measurement infrastructure.

  • Contribute to the foundation of our self-service analytics model, helping to build and maintain scalable reporting dashboards and KPI documentation to empower stakeholders and your own team.

WE’D LOVE TO MEET YOU IF

  • Have a proven track record of 3+ years in a Data Analyst, Product Analyst, or a similar role, with experience owning and delivering complex, high-impact projects.

  • Analytics: You’re confident in structuring analytical approaches to evaluate marketing performance and support business decisions, with experience working with KPI frameworks and deriving actionable insights.

  • Programming: Proficiency in SQL, including best practices like window functions and CTEs. Experience using Python for data analysis is a strong advantage. (Note: You will be asked to complete a SQL and Python task as part of the process.)

  • Statistics: You have a solid understanding of A/B testing and foundational causal inference methods (e.g., difference-in-differences). Exposure to predictive models (e.g., logistic regression) is a plus.  (Note: You will be asked to complete a task-based interview related to A/B testing and other basic causal inference methods as part of the process.)

  • Data handling: You’ve worked with marketing and tracking data, helped define data needs, and are comfortable with basic ETL processes. Exposure to data governance or compliance topics is a plus.

  • Communication: You can translate complex data into clear insights for both technical and non-technical audiences. You’re collaborative, curious, and comfortable working across functions.

  • Educational background: A degree in a quantitative field such as statistics, economics, computer science, engineering, or similar—paired with a strong desire to learn and grow in marketing analytics.

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!

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.

  • Employee shares program

  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners

  • 2 paid volunteering days a year

  • Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration

  • Work from abroad for up to 30 working days a year

  • 27 days of vacation a year to start for full-time employees

  • Relocation assistance available (subject to prior agreement)

  • Family services, including counseling and support

  • Health and wellbeing options (including Wellhub, formerly Gympass)

  • Mental health support and coaching available

  • Drive your development through our training platform and biannual peer-to-peer review

Recruiter

Donatella Marcellino

donatella.marcellino@zalando.de

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Über Zalando

Es ist die perfekte Zeit, sich Zalando auf unserer Reise anzuschließen, das führende E-Commerce-Ökosystem für den europäischen Mode- und Lifestyle-Markt aufzubauen. Hilf uns, rund 52 Millionen aktiven Kund*innen in 26 Märkten ein inspirierendes und qualitätsorientiertes Einkaufserlebnis für Mode- und Lifestyle-Produkte zahlreicher Marken aus einer Hand zu bieten. Oder sei Teil unserer Zalando Logistik-, Software- und Service-Infrastruktur, um Marken und Einzelhändler bei ihren E-Commerce-Transaktionen in ganz Europa zu unterstützen – sowohl auf als auch außerhalb der Zalando Plattform. Komm zu uns, um mit diesem Ökosystem einen positiven Wandel in der Mode- und Lifestylebranche zu bewirken.

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