THE ROLE & THE TEAM
You work in CRM Targeting & Analytics, the team that decides which customers Zalando engages and measures the incremental value those interactions create. We sit within CRM and partner closely with Customer Lifecycle Management to reach customers across 24+ markets through email, push, in app and the notification centre.
Our ambition is to move from reactive campaigning, where CRM responds to stakeholder requests, towards proactive and eventually autonomous decision making: the right message, through the right channel, with the right offer, at the right time, while protecting the customer relationship. Strong analytics is what makes that shift possible.
As a CRM Data Analyst, you own the analytics for a set of lifecycle campaigns. You build the targeting logic, set up and evaluate experiments, and measure what those campaigns actually changed. You will work with holdout based incrementally rather than last click attribution. If that is new to you, this is a strong environment to learn how to apply it properly in practice.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Own targeting and segmentation for your lifecycle campaigns. Build and maintain customer selection logic within our targeting framework, and work with data engineers and marketing automation colleagues to make sure it runs reliably across email, push, in app and the notification centre.
Design and evaluate experiments on targeting, offers and channel strategy using our experimentation platform and testing standards. Get the fundamentals right: clean variant assignment, sufficient sample sizes, disciplined test execution and clear interpretation, including when results are inconclusive.
Measure what your campaigns actually delivered. Produce incrementality reads using global and campaign level holdouts, understand how the metrics are constructed, and turn the results into clear recommendations for the stakeholders running those campaigns.
Build and improve the reporting CRM relies on. Develop dashboards, recurring performance views and the underlying queries, and take ownership of the quality of what you publish. Your work should be documented, reproducible and reconciled against source data.
Share what you learn. Document your work so others can build on it, contribute to knowledge sharing across the team, support new joiners, and take part in interviews alongside the hiring manager.
WE’D LOVE TO MEET YOU IF
3+ years of experience using data to support business decisions, with a solid grounding in inferential statistics and A/B testing. Exposure to causal inference or holdout based measurement is a plus, and you will have the opportunity to deepen that expertise here. A strong quantitative degree, for example in Economics, Statistics, Mathematics or Computer Science, gives you a good foundation for the role.
Strong SQL and practical Python skills. You are comfortable working with large datasets and either have experience in a modern cloud data environment, such as Databricks, data lakes, Airflow and Git, or are motivated to build that experience quickly.
Hands on dashboarding experience with Tableau, MicroStrategy, Looker or similar tools, combined with a strong focus on data quality. You validate your work, understand where your numbers come from, and make sure what you publish can be trusted.
An interest in CRM, lifecycle marketing or customer analytics. Experience with marketing automation platforms such as Braze, Salesforce Marketing Cloud or Adobe is useful, but not required.
Clear communication skills. You can explain analytical findings to non analysts, separate evidence from interpretation, and say when the data does not support the conclusion someone expected.
A proactive and pragmatic way of working. You learn quickly, solve problems independently, collaborate well with others, and are comfortable working in English in an international environment.
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)
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
Skills Required
- 3+ years of experience using data to support business decisions
- Strong grounding in inferential statistics and A/B testing
- Strong SQL skills
- Practical Python skills
- Experience working with large datasets
- Experience with a modern cloud data environment, or motivation to build that experience quickly
- Hands-on dashboarding experience with Tableau, MicroStrategy, Looker, or similar tools
- Strong focus on data quality and validation
- Interest in CRM, lifecycle marketing, or customer analytics
- Clear communication skills for explaining analytical findings to non-analysts
- Strong quantitative degree in Economics, Statistics, Mathematics, Computer Science, or a related field
- Exposure to causal inference or holdout-based measurement
- Experience with marketing automation platforms such as Braze, Salesforce Marketing Cloud, or Adobe
- Experience with Databricks, data lakes, Airflow, and Git
- Fluent working proficiency in English
Zalando Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zalando and has not been reviewed or approved by Zalando.
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Leave & Time Off Breadth — Paid time off includes a sizable annual allowance that can grow with tenure, plus additional paid days for volunteering. This breadth is highlighted as supportive of work–life balance.
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Wellbeing & Lifestyle Benefits — Mental health support, round‑the‑clock counseling for employees and households, and broad fitness/wellness access are emphasized as robust. Substantial product discounts and partner offers add meaningful lifestyle value.
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Parental & Family Support — Structured support around parental leave—such as buddy programs, re‑onboarding, and paid child sick days—helps ease family responsibilities. Flexible and part‑time leadership options further accommodate parents.
Zalando Insights
What We Do
Welcome to Zalando. Here’s some key info about us: Our position and vision: - We’re Europe’s leading online platform for fashion and lifestyle - Founded in Berlin in 2008, we bring head-to-toe fashion to more than 50 million active customers in 25 markets; offering clothes, footwear, accessories, and beauty - Our vision is to become The Starting Point For Fashion. Our offering: - Our assortment of international brands ranges from world-famous names to local labels - Our platform is a one-stop fashion destination for inspiration, innovation, and interaction - As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and friends of our brand. - Our logistics network with 12 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs. Our beliefs: - Our ambition is to combine our passion for self-expression through fashion with our unwavering commitments to sustainability and D&I - We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners.



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