Company Description
ABOUT YOU is one of Europe's fastest growing e-commerce companies. Based in Hamburg and Berlin, they operate at the intersection of fashion and technology. Their mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas - it takes people who take initiative and challenge the status quo. They believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains, just ownership, trust, and clear responsibility. They work hard, but also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings.
Responsibilities
- Act as a bridge between data scientists, software engineers and product teams, ensuring alignment on recommendation goals and priorities
- Collaborate with stakeholders to understand product objectives, identify key performance indicators (KPIs), and translate them into measurable goals for recommendation performance
- Collaborate and exchange with the core shop analytics team on cross-team initiatives and develop cross-stack data deliverables together
- Develop and maintain tracking systems, dashboards, and tools to monitor recommendation system performance and user behavior
- Continuously analyze data and update relevant dashboards to ensure that product managers have timely access to recommendation performance data
- Analyze user behavior, recommendation success metrics, and click-through data to improve recommendation relevance, usability and overall performance based on analysis and insights
- Provide insights to Product Managers on user interaction with the recommendation function, highlighting areas where the user journey can be optimized for efficiency and satisfaction
- Identify areas where data processes can be automated or streamlined to increase team efficiency
Requirements
- Advanced SQL (Python is a plus)
- Experience working with tracking data (GA4 a plus)
- Experience with version control software and data warehouse (gitlab, GBQ or similar)
- Experience with data visualization tools (e.g. Looker Studio or similar)
- Experience with data mining, cleaning
- Knowledge in user behavior analysis and visualization
- Experience building interactive dashboards (e.g. using Streamlit, Voila, Gradio)
- Able to work and drive topics independently
- Excellent analytical thinking, a passion for working with numbers, and the ability to deliver thoughtful solutions based on data analyses
- Excellent communication skills to convey complex analytical findings in a clear and actionable manner
- Self-driven, motivated and organized
Nice to Have
- Experience with BigQuery
- Familiarity with statistical testing and Gaussian Processes
- Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch)
- Experience with GCP or AWS, including infrastructure-as-code and CI/CD pipelines
- Practical knowledge of Docker