Related skills
sql python pandas airflow scikit-learn📋 Description
- Senior Data Analyst (Community & Product Forensics) in Berlin
- Perform deep-dive analytics on high-volume event data
- Ensure data accuracy and uncover insights to drive growth
- Build and enhance the digital destinations users rely on
- Collaborate with the Community Data Team to guide decisions
🎯 Requirements
- Expert SQL: advanced SQL (CTEs, Window Functions); ClickHouse a plus
- Python for modeling: Pandas, Scikit-learn
- Web/app tracking literacy: inspect network payloads and event triggers
- Data hygiene: audit dirty data, bot activity, tracking gaps
- Analytical intuition: identify data anomalies and investigate root causes
- Nice-to-have: Airflow for scheduling and community domain knowledge
🎁 Benefits
- Growth opportunities and internal mobility
- Flexible hybrid working scheme
- 32 days paid vacation plus birthday off
- Learning budget and internal training
- Mental health coaching
- Global and local get-togethers; sabbatical after 3 years
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