Job Description

We are looking for a Data Analyst (m/f/d) with a passion for Data Engineering to be part of the development of our Recommendation Engine within our Business Intelligence Applications.

Our BI App circle is embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.

The cross-functional team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience. You will work at the heart of our recommendation with deep insights into the algorithms behind that. Within this, you will work together with fellow engineers and data scientists to ensure that the systems serve customers in the best possible way, balancing speed and recommendation performance. To achieve this, you will leverage insights into the users engagement with recommendations as well as building a reliable data model within our data platform that scales for new recommendations.

What you will do

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

What you will get on top

Grow together with one of the fastest growing eCommerce companies in Europe
Flexible working times
40% discount on our online shop
Fresh fruits + drinks everywhere
Language courses (German & English)
Free sports courses & reduced price for gym membership
Subsidized public transportation ticket
Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage
State-of-the-art tech stack running on AWS
Modern office in the city center of Hamburg
International working environment and English as company language
Company flats (subject to availability)
Agile work environment (MOVE) and cross-functional teams
Free access to Germany’s greatest developer conference code.talks
German health insurance included
Help in relocation and VISA process

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! This way, we can ensure a faster process and for you it is very easy to upload your application documents. :-)

ABOUT YOU SE & Co. KG

Senior Data Analyst (m/f/d) - Recommendation - onsite in Hamburg or Berlin