ABOUT YOU

Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg

ABOUT YOU WorkFromHome

Stellenbeschreibung:

Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg

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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.

What you will do

  • Conduct in-depth analyses on shop user behavior to uncover actionable insights
  • Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements
  • Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences
  • Provide full-cycle A/B test analytical support to optimize shop performance
  • Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability
  • Design and implement advanced dashboards, enabling self-service analytics across the organization
  • Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making

Who you are

  • Advanced proficiency in SQL for complex data analysis and querying large datasets
  • Expertise in e-commerce KPIs and funnel analysis
  • Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
  • Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports
  • Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
  • Strong understanding of customer segmentation and cohort analysis in the e-commerce context
  • Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
  • Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
  • Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
  • Attention to detail and commitment to data quality and accuracy
  • Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders.

Benefits

  • Hybrid working
  • Sports courses
  • Free access to code.talks
  • Exclusive employee discounts
  • Free drinks
  • Language courses
  • Laracast account for free
  • Company parties
  • Help in the relocation process
  • Mobility subsidy
  • State-of-the-art technology
  • Central Location
  • Company pension
  • Dog-friendly office
  • Job Bikes
  • 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 the ABOUT YOU culture. 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. :-)

    Referrals increase your chances of interviewing at ABOUT YOU by 2x

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    NOTE / HINWEIS:
    EnglishEN: Please refer to Fuchsjobs for the source of your application
    DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

    Stelleninformationen

    • Typ:

      Vollzeit
    • Arbeitsmodell:

      Vor Ort
    • Kategorie:

    • Erfahrung:

      2+ years
    • Arbeitsverhältnis:

      Angestellt
    • Veröffentlichungsdatum:

      29 Nov 2025
    • Standort:

      WorkFromHome

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