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A leading eCommerce company in Hamburg is seeking a Data Analyst to join their Shop Analytics Team. You will analyze complex e-commerce data to enhance user experiences, drive optimization, and support A/B testing initiatives. The ideal candidate has advanced SQL skills, a solid understanding of e-commerce KPIs, and experience with data visualization tools. This role offers flexible working hours, a dynamic work environment, and a variety of employee benefits.
Join our Shop Analytics Team as a Data Analyst (m/f/d) within the Customer & Shop Intelligence cluster and directly impact millions of fashion shoppers' experiences. You'll analyze complex e-commerce data to drive product decisions, optimize conversion funnels, and power personalization features that keep users engaged.
Working closely with Product Owners and cross-functional teams, you'll provide full-cycle A/B test analytical support, create tracking concepts, and translate user behavior and shop performance insights into actionable business recommendations.
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to theABOUT YOUculture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health, and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair, and circular fashion culture.
We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you it is very easy to upload your application documents. :-)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.