Senior Data Analyst - Size & Fit(m/w/x)

# Senior Data Analyst - Size & Fit (all genders) **Berlin** | **Full time** At Zalando we believe that an article that doesn’t fit well is the wrong article for our customers. As a S**enior Data Analyst** in **the Size & Fit team** you will play a key role in addressing the challenge of finding the right fit in online shopping. Our mission involves gaining a deep understanding of customers’ preferences related to size and fit, as well as a comprehensive knowledge of the assortment attributes and measurements from our brands. The real magic happens when we successfully match both. In this role, you will collaborate closely with the Engineering team and act as a bridge to Product, Business and Applied Science. You will measure and analyze how the solutions we provide to our customers are impacting our business and your insights will enable strategic commercial decisions at Zalando. Would you like to bring in your skills to shape a great experience to millions of customers when buying clothes online? ## **WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)** * Bring your business data-driven analytical approach to the Size & Fit Team; you generate hypotheses and try to test them by performing descriptive, exploratory and quantitative analyses. You can translate metrics from algorithmic and data products into actionable business insights. You know when a hypothesis can only be tested by an experiment, and you can help create and drive them. * You are the connector between the Engineering team and the Product team. You can translate the Size and Fit benefits to answer complex business questions and identify and measure commercial opportunities. * Be a reliable partner for the Size & Fit Team when related to commercial reporting and analytics, and support the Team with more complex analysis. * Avoid working in silos by collaborating with cross-functional leaders from Engineering, Applied Science, Product, Content and Customer Analytics to drive innovation. You incorporate data from different sources within and outside of Zalando to drive projects. ## **WE’D LOVE TO MEET YOU IF** * You have a **proven track record of 5+ experience as a Data Analyst or sim****ilar role**. A university degree in Mathematics, Economics, Computer Science, Quantitative social science, or a comparable subject. * Strong technical background with **advanced SQL skills** and programming background, including, but not limited to, **Python, Spark, and Google Big Query.** Excellent knowledge in coding for data retrieval, processing, exploration and analysis. Constant drive and tenacity to learn new techniques and tools are a must. * Understanding of the economics of online platforms and/or online fashion retailers, as well as the commercial KPIs governing their success. * Strong communication to convince technical and non-technical audiences with the insights you generate and compelling data-driven storytelling that enables decision-making. * Enjoy working cross-functionally; you have great stakeholder management skills to work with different levels of management to support, challenge, and bring solutions. * Hands-on mentality, a person who always finds solutions to challenges. You are proactive, can adapt quickly to changes, and always remain focused on our quality objectives. ## OUR OFFER Zalando provides a range of benefits, here’s an overview of what you can expect. * 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 60% (or more) 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