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postgresql mongodb sql grafana pythonπ Description
- Run A/B tests
- Find data insights; support growth opportunities
- Track retention, subscription, and LTV metrics
- Design and build data marts
- Develop and maintain BI dashboards
- Handle ad-hoc requests from product teams
π― Requirements
- 5+ years as Data Analyst or Product Analyst
- Strong foundation in statistics and probability
- Advanced SQL
- Python with NumPy/Pandas/Matplotlib/Scikit-learn
- BI tools: Tableau, Power BI, Metabase
- Strong written English
- Proactive, detail-oriented problem solver
π Benefits
- 31 days off
- 100% telemedicine coverage
- Home office setup assistance
- English language courses
- Relevant professional education
- Gym or swimming pool access
- Co-working options
- Remote working
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