(Senior) Business Analyst | Supply Planning & Trading (all genders)

Zalando GmbH WorkFromHome

Stellenbeschreibung:

This role sits within the Supply Planning & Trading team (SP&T) and forms the key interface between the different product categories, operations and the markets commercial and strategic teams.
We are looking for a (Senior) Business Analyst who will not only support the daily business and enable a fast and data driven decision making process but also contribute to the success and sustainable growth of the different product categories through data modelling and hypothesis testing on the main strategic building blocks. Hence, the candidate will bring strong analytical skills combined with a great commercial understanding in a fashion business environment. The candidate will report to the SP&T Head and work closely with multiple cross-functional teams.

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)

  • Translate data into actionable insights for the business and hence maximize potential and improve accuracy on the decision making process, supported by data visualization and storytelling;

  • Collaborate with multiple data teams across Zalando by incorporating the different datasets from multiple sources to identify opportunities which aim to support the determination of strategic growth levers and initiatives to drive our business forward;

  • Be responsible for all aspects of data availability, consistency, and quality of the data into and within the reports that you build, seeking continuous maintenance, automatization and improvement;

  • Develop a strong understanding of business processes, tools (e.g. ANAPLAN), and the overall data landscape enabling supply’s trading and steering;

  • Bring the data-driven analytical approach into supply’s short and mid-term trading by generating hypotheses and test them by performing descriptive, exploratory and quantitative analyses. You know when a hypothesis can only be tested by an experiment, and you can help create and drive them;

  • Be a reliable partner for our Merchandising, Markets and Finance teams when related to reporting and analytics, and support your immediate team with more complex analysis;

  • Support project based analytic requests and create transparency on the different implications on overstock, sales and profitability or on other teams/functions;

  • Build up on your curiosity and foster recommendations on potential solutions/projects that enhance the customer experience through great assortment;

  • You have a hands-on mindset and are always willing to support your team and tackle ad-hoc requests and business cases from stakeholders.

WE'D LOVE TO MEET YOU IF

  • You hold a degree (Bachelor, Master) in Computer Science, Mathematics, Statistics or in Business of Fashion and other related field;

  • You come with 2+ years of experience working with big data in Fashion, Commercial Planning, Merchandising, E-commerce or in an analytical business role;

  • You possess knowledge of statistical methods and modelling (e.g. regression, random forest) is a must, and knowledge of causal inference is a plus.

  • You have great analytical skills to deliver a strong data-driven performance: You are an expert in MS Excel and Google Workspace;

  • You have acquired exceptional understanding of databases, pipelines and reporting solutions such as Google Data Studio, Microstrategy and ANAPLAN;

  • SQL skills using advanced tools like Databricks and coding languages such as Python and PySpark are a plus;

  • You come with a proactive and curious mindset, hands on and eager to continuously learn and improve with an ability to solve problems quickly and in a structured manner;

  • You convince with your excellent communication skills and are comfortable to connect with stakeholders to understand business needs and to share your view to colleagues on the basis of concepts and facts;

  • You are keen to learn and are looking to work in a fast-paced multinational environment;

  • You have an excellent command of verbal and written communication skills in English.

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 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 counselling and support

  • Health and wellbeing options (including Wellness)

  • Mental health support and coaching available

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

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    23 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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