Senior Data Analyst - Consumer & Market Insights (all genders)

The Consumer & Market Insights team plays a crucial role in shaping customer-centric strategies at Zalando. By focusing on in-depth analytics and research, the team uncovers valuable insights that inform decision-making and enhance our competitive edge. The understanding of consumer needs and behaviours enables more effective sales, marketing, product development, and overall business strategies.

As a Senior Data Analyst in the Brand & Satisfaction tracking sub-team, your goal is to shed light on what drives customer perception and behaviour, leveraging the wide variety of data sources at your disposal. You will act as the voice of our customers internally and support data-driven decisions to improve their experience.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring – we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

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

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

1. Connecting transactional data, onsite behavioural data and perception insights (derived from customer and panel surveys) to build a holistic understanding of our customers’ experience.
2. Successfully leading and owning analytical projects by conducting descriptive, diagnostic and predictive analytics using state-of-the-art modelling techniques and deriving recommendations for our stakeholders.
3. Support more junior analysts with guidance and sparring, leveraging your knowledge and experience to raise the bar for analytics within the team.

MINIMUM REQUIREMENTS

1. University degree in economics, computer science, mathematics, statistics, or in a similar quantitative field.
2. Proven track record of a minimum of 5 years in a highly analytical role, ideally in an e-commerce environment.
3. Strong analytical skills and solid understanding of statistical methods, with the ability to extract meaningful insights from large and complex data sets.
4. Solid programming skills in SQL and in Python, as well as experience with Google Analytics (BigQuery).
5. Previous experience with data visualisation tools (e. g. Microstrategy, Tableau, PowerBI) is a plus.
6. Knowledge of time series forecasting and causality (causal inference and A/B testing) is considered a plus.
7. Ability to concisely communicate the essence, conveying meaningful and relevant insights to analytical and non-analytical stakeholders alike.
8. Excellent verbal and written English skills.

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 Zalando Lounge, 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
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

Please note that all applications must be completed using the online form – we do not accept applications via email.

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

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