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forecasting aws data warehouse sql python📋 Description
- Set vision and priorities for data to support fundraising and marketing strategy.
- Design and build data models in the warehouse as source of truth for fundraising reporting.
- Establish trusted datasets and consistent metric logic across orgs.
- Turn recurring analytics needs into scalable, automated data products.
- Scope and prioritize fundraising data products with stakeholders.
- Partner with data engineering to improve data quality and downstream analytics.
🎯 Requirements
- 8+ years in analytics, data science, or quantitative strategy driving fundraising.
- Strong experience setting data product vision amid ambiguity.
- Systems thinking; design measurement systems that compound value.
- Advanced SQL skills and production-grade data models in a data warehouse.
- Strong Python proficiency.
- Experience building forecasting models (revenue, LTV, retention).
- Experimentation and ROI-focused measurement (A/B tests, quasi-experiments).
- Ability to navigate ambiguity and independently guide data-influenced strategy.
🎁 Benefits
- Fully remote role that overlaps East Africa time zones.
- Flexible paid time off.
- Comprehensive health benefits (country-specific).
- Learning and development allowances and desk setup funds.
- Opportunities for advancement within a high-impact nonprofit.
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