ABOUT THE TEAM
The Commercial Analytics team is the analytical powerhouse and investigative engine for the ZMS Commercial organization. We empower our Sales and Media Operations teams to navigate the market successfully by turning complex campaign data into actionable commercial strategies.
We are looking for aSenior Commercial Analyst to act as our foremost expert on campaign performance and Ad-Tech metrics. You will build the analytical methodologies and frameworks that explain our campaign performance across both Managed and Self-Service operative models, and you will act as the vital bridge ensuring that new product features are included downstream in our reporting in order to translate them into measurable commercial success. You will own the analytical narrative in our core Media Steering meetings, translating these complex insights into direct, daily optimization strategies for our Media Operations team.
INCLUSIVE BY DESIGN
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!
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.
Discover more about our commitment to creating a diverse and inclusive workplace:
WHERE YOUR EXPERTISE IS NEEDED
- Owning the Media Steering Analytics: You are the analytical engine behind our regular Media Steering meetings. You provide the deep-dive debriefs on overarching campaign performance, pacing metrics, and ROI targets, ensuring our Media Ops team knows exactly where to adjust the levers.
- Steering Models & KPI Driver Trees: You don't just report numbers; you build the structural frameworks. You develop comprehensive KPI driver trees and steering models that mathematically and logically explain what drives our campaign performance (e.g., ROAS, CPC, CPM, CPA) to both internal leadership and external partners.
- Campaign Optimization (Managed & Self-Service): You drive the analytical optimization strategy across both of our operating models. You provide deep-dive insights to our Media Operations team (Managed Service) to improve mid-flight campaigns, and you analyze platform data to identify best practices for partners who execute campaigns themselves (Self-Service) via our ad platform solution.
- The Product-to-BI Bridge: When Product Management launches new marketplace features or bidding algorithms, you act as the critical liaison. You assess their commercial impact, incorporate them into the media optimization landscape, and—crucially—work hand-in-hand with ourBI Analytics team to ensure these new features are accurately captured in our reporting infrastructure and self-service reporting layers.
- Advanced Ad-Tech Troubleshooting: You are the escalation point for the most complex performance challenges. You leverage your deep understanding of programmatic bidding methods to explain granular shifts in the marketplace to both technical peers and commercial leaders.
WHAT WE ARE LOOKING FOR
- You’re proud of a degree in Business Administration, Data Analytics, Marketing, Economics, or a related field, and bring5+ years of strong professional experience inRetail Media,Ad-Tech, orDigital Marketing Analytics.
- You are an expert in advertising technology and marketplace dynamics. You possess a deep, structural understanding of bidding methods (e.g., first-price vs. second-price auctions), programmatic advertising, and core performance KPIs.
- You are highly skilled in statistical analysis and have a proven track record of building complexKPI driver trees and analytical steering models from scratch.
- You possess advanced technical data skills, including expert-levelSQL and deep proficiency in BI visualization tools (e.g., Tableau, Looker, MicroStrategy). Ideally, you have experience with modern cloud data platforms—specificallyDatabricks—which is a strong plus as we continue to expand our analytics infrastructure.
- You are familiar with AI-tooling (Cursor, Claude Code, Genie Code) and have first-hand experience leveraging the tools to improve your workflow productivity. GitHub experience is a strong plus.You excel in cross-functional stakeholder management. You can seamlessly translate the technical logic of a Product Manager's algorithm into a data requirement for a BI Engineer, and then into a commercial execution strategy for the Media Operations team.
- You are a proactive problem-solver and a natural mentor, capable of elevating the analytical rigor of the broader team without needing a formal people-management mandate.
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% 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 (for Zalando SE) +1 more every year until 30
- 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
Learn all about Zalando and our values here:
