Full-timeStart: immediately

Senior Data Analyst - Recommendation (all genders)

ABOUT YOU

Hybrid | Hamburg or Berlin, Germany | Experienced

Jobs
Senior Data Analyst - Recommendation (all genders) – Hamburg or Berlin, Germany

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About our Product & Tech Department

Our mission is to digitize the classic shopping stroll, turning it into a personalized, inspiring experience for every customer. Technology and data sit at the center of everything we build. We are not a fashion company with a tech team on the side. Tech drives our product, our strategy, and our growth.
Our proprietary tech stack powers our own shops and SCAYLE, our commerce infrastructure solution that serves over 350 brands globally. Same foundation, bigger stage. The challenges keep things interesting.

Get to know the department and teams Your Team: Data & Analytics

What To Expect

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

Who You Are

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

Salary range

70k - 85k €

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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.