THE ROLE & THE TEAM

Zalando Marketing Service (ZMS) stands for a new era of marketing in e-commerce. The company helps partners to shape love brands, create strong customer relationships, and accelerate their business, by integrating data-infused and inspirational marketing. ZMS enables fashion, beauty and lifestyle partners to engage with ~50 million active customers across 25 European markets on Zalando and beyond, and provides access to exclusive fashion and lifestyle audiences. Based on deep customer insights, smart marketing tools, assortment and content creation expertise across >50K campaigns, ZMS drives the marketing and sales impact of its partners seamlessly along the path to purchase, from brand awareness, to consideration and conversion.
As an Analytics Engineer in the ZMS Central Analytics Engineering team, you’ll be at the forefront of transforming raw data into powerful insights that drive our business forward. Leveraging dbt and Databricks, you’ll design and implement sophisticated data models that bridge multiple data sources across ZMS and Zalando. Your role is pivotal in two key areas: empowering our partners to optimize their campaigns and achieve their objectives, and enabling ZMS to make data-driven decisions that meet our financial targets. Working closely with the analytics team, you’ll provide the source of truth data that let them create clear, accurate financial and partner reports, turning complex data into compelling stories that inform strategy across the organization. Your expertise will be instrumental in enhancing our partners’ experience with MOTHERSHIP, ultimately contributing to ZMS’s growth and success in the dynamic world of e-commerce and digital marketing.

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

• Master Data Transformation: Use dbt to transform raw data into structured, analysis-ready formats, ensuring data quality and integrity.
• Design Data Models: Design and maintain flexible and robust data models that serve as the backbone for analytics, reporting, and operational needs.
• Build Data Products: Collaborate with data product owners and stakeholders to develop and deploy data products that drive strategic business decisions.
• Empower Decision-Making: Provide clean, accurate datasets that enable end users and stakeholders to derive meaningful insights independently.
• Elevate Data Culture: Foster a culture of quality, innovation, and data-informed decision-making throughout the organization.

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. Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

• 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 availabl