Job Description

• Work closely with several professions as a single contributor: 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 our core shop analytics team on cross-team initiatives and develop together cross-stack data deliverables
• 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 behaviour, 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

Qualifications

• 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 (eg. 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

Additional Information

Your perks at a glance: Visit our benefits page

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You

We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.

Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.

What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.