Senior Data Analyst; m​/f​/d - Shop Analytics - onsite

Stellenbezeichnung: Senior Data Analyst (m/f/d) - Shop Analytics - onsite

Join to apply for the Senior Data Analyst (m/f/d) role at ABOUT YOU

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Join to apply for the Senior Data Analyst (m/f/d) role at ABOUT YOU

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Join our Shop Analytics Team 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.

• MySQL
• Python
• Google Big Query
• Gitlab

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.

Nice to have

• Working knowledge of a programming language for data analysis (Python preferred)
• Experience with big data technologies (e.g., Google Big Query)
• Familiarity with version control systems (e.g., Git)

Benefits

• Hybrid working
• Fresh fruit every day
• 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
• Flexible Working Hours
• Company pension
• Professional training
• Dog-friendly office
• AY Academy
• Feedback Culture
• Job Bikes

You Are The Core Of About You.

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. :

-)Seniority level

• Seniority level
  
  Mid-Senior level

Employment type

• Employment type
  
  Full-time

Job function

• Job function
  
  Information Technology
• Industries Internet Marketplace Platforms

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