Aktiviere Job-Benachrichtigungen per E-Mail!

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

ABOUT YOU GmbH

Hamburg

Vor Ort

EUR 45.000 - 65.000

Vollzeit

Vor 30+ Tagen

Zusammenfassung

Join a leading company in the fashion e-commerce space as a Data Analyst and impact millions of shoppers. You'll analyze complex data, support A/B testing processes, and provide actionable recommendations to enhance the customer shopping experience. Your ability to work with cross-functional teams and expertise in SQL and e-commerce metrics will be crucial to drive product decisions and optimize performance.

Qualifikationen

  • Advanced proficiency in SQL for complex data analysis.
  • Expertise in web analytics and funnel analysis.
  • Experience with data visualization tools to create dashboards.

Aufgaben

  • Conduct in-depth analyses on shop user behavior.
  • Drive shop growth by providing analytical insights.
  • Implement advanced dashboards enabling self-service analytics.

Kenntnisse

SQL
E-commerce KPIs
A/B testing
Data visualization
Customer segmentation
Statistical analysis
Problem-solving
Communication

Tools

Looker Studio
Tableau
Python
Google BigQuery
Git
Jobbeschreibung

Job Description

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.

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 BigQuery)
  • Familiarity with version control systems (e.g., Git)
Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.