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data analytics sql python data visualization statistical modeling📋 Description
- Define key metrics and GTM reporting across segments.
- Analyze commercial/user data to surface insights and opportunities.
- Apply causal inference methods (experiments, synthetic controls) to guide decisions.
- Investigate anomalies and provide data-driven guidance on priorities and decisions.
- Build statistical models, optimization frameworks, and simulations for commercial decisions.
- Present analyses to technical and non-technical stakeholders.
🎯 Requirements
- Proficiency in Python, SQL, and data visualization tools.
- Expertise in experimental design, causal inference, statistics, and A/B testing.
- Translate complex data into clear insights for technical and business audiences.
- Strong written communication and presentation skills.
- Ability to work effectively in fast-moving, ambiguous environments and create structure.
🎁 Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Lovely office space.
🛃 Visa sponsorship
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