Senior Data Analyst - Wholesale Analytics

30 Aug 2021
14 Nov 2021
Department: SP&A, In-Season Management & Data Products
Reporting to: Lead Analyst In-Season Analytics Team

Team Size:
Recruiter Name: Kyro Murray

At Zalando, our goal is to become the “Starting Point of Fashion” - we want our customers to always start their fashion journey from the Zalando shop, knowing that anything fashion-related could be easily found.

As the In-Season Management and Data Products team, we support this vision by ensuring relevant assortment is available to our customers and providing a great shopping experience. We want to achieve high product availability to minimise lost sales while controlling for overstock/underperformance to increase profitability.

As the Senior Data Analyst in our team, you will find yourself at the forefront of department-wide analytical initiatives, tackling complex analytical challenges such as predictive analytics, inventory optimisation and loss demand estimation, fostering data-driven decision making mindset, and being the trust advisor of your stakeholders.

  • Changing the game, analysing our current performance, building business cases, establishing data-driven processes/products, and helping us grow stronger.
  • Running proof of concepts to validate ideas and converting these ideas into prototypes.
  • Building and clearly communicating compelling data stories to support operational teams
  • Analysing and creating new metrics to measure success and progress of our products
  • Support product teams to validate changes, debug, and ensure expected result from the user point of view

  • Balance between technical acumen and business understanding and excel in collaborating with commercial stakeholders to drive insightful, robust analyses.
  • Excellent problem-solving, verbal and written communication skills with a curious and self-starter mindset.
  • Apply logical and easy-to-understand frameworks to deal with complex issues and propose appropriate machine learning models & end to end solutions.
  • Experience working with structured and unstructured data, we use Exasol, Data Lake and DataBricks as part of our data stack as well as data transformation and statistical computing languages in Python or R.
  • Visualise your data insights with tools like Tableau, Power BI, Microstrategy, or Google Datastudio.
  • Excellent educational background in Economics, Computer Science, Statistics, or similar quantitative field.


A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere

Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings

Mentoring and personal development opportunities and an international team of experts

Relocation assistance for internationals, PME family service and parent & child rooms

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 34 million active customers through diverse skill-sets, interests and languages our teams choose to use.

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

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