Atolls is the world's largest community-driven shopping platform, active in 20+ markets. :
We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.
Our 1,000+ team across 10 countries builds products used every day at global scale, where you'll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.
About This Role:
We are looking for a Senior Data Analyst (Community & Product Forensics) to join our Community Data Team team in Berlin/ Munich and surrounding area. At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. You will be our "Data Detective," responsible for performing deep-dive analytics on high-volume event data, ensuring its accuracy, and uncovering insights to drive community growth. As a key part of our team, you'll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys.
Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices.
Our Benefits:
At Atolls, we believe in nurturing both your professional and personal growth. Here's what you can expect:
A culture that values personal and professional development, with internal mobility opportunities.
A supportive and open-minded team that embraces diverse perspectives and innovative ideas.
32 days of paid vacation plus your birthday off, giving you the time you need to recharge.
A flexible hybrid working scheme to balance work and life.
Access to a learning budget and internal training to help you grow in your role.
Mental health coaching to support your well-being.
Regular global and local get-togethers to celebrate successes and build connections.
The possibility of taking a sabbatical after three years with the company.
A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.
*These are global benefits that apply to all employees, with additional local perks based on your location.
Responsibilities:
In this role, you will
Technical Investigation & Forensics: Identify and resolve data discrepancies. If a metric looks "off," you'll use your knowledge of web/app technologies (inspecting network requests, tracking pixels, or API responses) to find the root cause.
Deep-Dive Community Analytics: Analyze complex member behaviors—retention cohorts, engagement velocity, and viral loops—to drive community growth.
Data Science & Modeling: Move beyond descriptive stats by building and deploying models (e.g., Churn Prediction, Sentiment Analysis, or Member Segmentation) using Python.
High-Performance SQL: Master our ClickHouse environment, writing optimized queries that leverage columnar storage to process billions of rows of interaction data.
Data Hygiene: Audit "dirty" data and build robust logic to handle bot activity, duplicate identities, and tracking gaps.
Your Profile:
We're looking for someone with experience in writing complex SQL, investigating web/app event data, and building predictive models in Python, who is dedicated to creating exceptional user experiences and driving innovation.
Expert SQL: Advanced mastery of SQL (CTEs, Window Functions, Optimization) specifically for columnar databases (ClickHouse experience is a massive plus).
Web/App Technical Literacy: Basic understanding of how web/app tracking works. You should be comfortable using tools to inspect network payloads and debug event triggers.
Analytical Intuition: A "sixth sense" for spotting data anomalies and the tenacity to investigate them until they are solved.
Nice-to-Haves
Workflow Automation: Basic knowledge of Airflow for scheduling analytical scripts.
Data Science Toolkit: Proficiency in Python (Pandas, Scikit-learn) for statistical modeling and complex data manipulation.
Community Domain Knowledge: Experience analyzing developer communities, forums, or social platforms.