Senior Data Analyst (m/f/x)
Atolls
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Compensation
Salary & market context
Salary not listed
- We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.
Requirements
Top requirements
- 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.
- Data Science Toolkit: Proficiency in Python (Pandas, Scikit-learn) for statistical modeling and complex data manipulation.
Perks & setup
Benefits candidates care about
- Our Benefits: At Atolls, we believe in nurturing both your professional and personal growth.
- A flexible hybrid working scheme to balance work and life.
- 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.
- We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.
Why candidates care
Benefits & perks
- Our Benefits: At Atolls, we believe in nurturing both your professional and personal growth.
- A flexible hybrid working scheme to balance work and life.
- 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.
- We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.
Start here
Requirements
- 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.
- Data Science Toolkit: Proficiency in Python (Pandas, Scikit-learn) for statistical modeling and complex data manipulation.
Responsibilities
What you'll do
- s:
- 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:
Role snapshot
About the role
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.
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.
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