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analytics aws data warehouse sql python📋 Description
- Set vision and priorities for data that support fundraising and marketing.
- Define, standardize, and document KPIs (retention, LTV, revenue forecasting).
- Design and build robust data models in the warehouse serving as truth source.
- Establish trusted source-of-truth datasets and metric logic across teams.
- Identify recurring analytical needs and turn them into scalable data products.
- Scope and prioritize fundraising data products with stakeholders.
🎯 Requirements
- 8+ years in analytics, data science, or quantitative strategy.
- Experience setting vision and priorities for data products amid ambiguity.
- Systems thinking; design measurement systems that compound value.
- Advanced SQL and production-grade data models in a data warehouse.
- Strong Python proficiency.
- Experience building forecasting models (revenue, LTV, retention).
- Experimentation and ROI evaluation.
- Ability to navigate ambiguity and shape data-informed strategy.
🎁 Benefits
- High ownership culture and flexible, supportive environment.
- Robust health benefits plan; varies by country.
- Flexible paid time off.
- Desk setup and learning & development allowances.
- Opportunities for advancement and professional growth.
- Supportive team and collaborative environment.
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