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CO-LOCATED EVENTS

Speaker

Sebastian Munoz

Senior Team Lead People Analytics & Research, Zalando

Sebastian holds a Marine Biology degree from Universidad Católica de la Santísima Concepción (Chile), a PhD in Ecology and Evolutionary Biology from Princeton University (USA), and received the International Fullbright Science & Technology Award in 2009.

Since 2018 he is been involved in the field of People Analytics and Research at Zalando, where he currently is Senior Team Lead People Analytics & Research.

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Company

Zalando

https://en.zalando.de/?_rfl=de
Zalando is Europe’s leading online platform for fashion and lifestyle. Founded in Berlin in 2008, we bring head-to-toe fashion to 46 million active customers in 23 markets, offering clothes, footwear, accessories, and beauty. The assortment of international brands ranges from world famous names to local labels. Our platform is a one-stop fashion destination for inspiration, innovation, and interaction. As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners, and every valuable player in the Zalando story. Our vision is to become the starting point for fashion. Our logistics network with 13 centrally located fulfillment centers allows us to efficiently serve our customers throughout Europe, supported by warehouses in Italy, France, Poland, and Sweden with a focus on local customer needs. We believe that our integration of fashion, operations, and online technology gives us the capability to deliver a compelling value proposition to both our customers and fashion brand partners. Zalando’s shops attract more than 560 million visits per month. So far, more than 90% of traffic comes from mobile devices, resulting in 46 million active customers.
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Colocated with
HR Analytics & AI Europe 2025 is part of the HR & Communication Tech Event Series. You can find more events here.
Date
November 24 – 25, 2025
Location
Hotel Titanic Chaussee
Chausseestraße 30
10115 Berlin
Phone
+49 (0)30 52 10 70 3 0
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