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Originele vacaturetekst

Product Analyst - Personalization (m/f/d)

Data is a critical part of our product development process and Product Analysts (f/m/d) are the chief advocates. We are looking for an experienced Analyst to join our team, which is the growing authority for understanding causality within the realm of our website and native apps. Through the data & insights you provide, you will have a direct impact on product decisions, and help shape the customer experience of Zalando Lounge.

You will complete a virtual cross functional team focusing on Personal Relevance. You add the analytics perspective to the team consisting of Product Managers, Product Designers, and Software Engineers next to a Senior Product Analyst while reporting into the Teamlead Product Analytics. You will be responsible for providing customer insights and understanding along the whole Product Development Process using exploratory data analysis, descriptive analyses, and A/B testing as well as other statistical approaches. You ensure impact measurement of product decisions as well as the continuous reporting and monitoring of critical business KPIs. Your analytical understanding helps you to see clearly how our products grow and related KPIs can be improved.

  • Providing insights and clarity on big strategic topics by translating them into research questions, defining research plans that leveraging the causal inference toolkit
  • Performing set-up and analysis of A/B tests for new features and business opportunities, analysing and deep-diving into the results to give recommendations. Following the scientific research process to provide well documented and reproducible results
  • Collaborating with other analytical teams across Zalando, while staying focused on the ultimate research goal
  • Developing in-depth analytical user understanding, defining and monitoring key performance metrics and helping the product team improve them
  • Impacting product decisions through presentation and data storytelling of data-based recommendations.
  • Sharing best practices with analytics and product teams and the larger community
  • Proven track record of 2-3+ years as a quantitative Analyst, ideally in a fast paced e-commerce environment. You balance technical acumen with business understanding and excel in collaborating with commercial stakeholders to drive insightful, robust analyses.
  • Strong knowledge of A/B testing best practices and/or a solid grasp of quasi-experimental methodologies/Econometrics
  • Proficient in data transformation and statistical computing in Python (e.g. pandas, matplotlib, numpy, ) or R (dplyr, tidyr, ggplot2, RMarkdown). Proficient in SQL and data storytelling using Tableau.
  • Excellent verbal and written communication skills with a detail oriented and self-starter mindset. You value a diverse and fast-paced business environment, and hence couple your passion for big data with pragmatism to drive actions and impact.
  • Excellent educational background in Economics, Social Studies, Mathematics, Biology, Statistics or similar quantitative field. M.Sc. Degree preferred.
  • A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
  • An active AC&C community for analysts to exchange, learn, mentor and test new ideas
  • 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 20 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 42 million active customers through diverse skill-sets, interests andlanguages 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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