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Senior Manager, Data - Fundraising and Marketing (Remote)
GiveDirectly
Posted 3 months agoNairobi, Kenya
Location
Nairobi, Kenya
Job Type
Full-time
Experience
Senior
Category
Data & Analytics
Job Description
GiveDirectly aims to reshape international giving and millions of lives by providing cash grants directly to the world's poorest. GiveDirectly has raised over $1B since launching in 2011 and delivered cash to more than 2 million people in 15 different countries. The organization is celebrated as one of the most innovative non-profits and is establishing cash transfers as a benchmark for foreign aid. Their global team of ~150 and country operations teams of ~650 span 21 different countries and 69 languages.
8+ years of experience in analytics, data science, or quantitative strategy roles with a track record of driving marketing or fundraising performance through analytics
Experimentation and performance measurement experience including A/B testing, quasi-experimental methods, and ROI evaluation
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Requirements
- Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
- Strong Python proficiency
- Experience building forecasting models such as revenue, LTV, and retention models
- Strong systems thinking and experience designing measurement systems
- Ability to navigate ambiguity and independently shape how data informs organizational strategy
- This role is fully remote but must overlap with East Africa timezone by at least 3 hours
Responsibilities
- Set vision and priorities for how data supports fundraising and marketing strategy across revenue streams
- Design and build robust data models in the warehouse as the source of truth for fundraising reporting
- Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation
- Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis
- Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised
- Collaborate with data engineers and analytics peers to improve data quality, access, and trust
- Contribute to the long-term roadmap for fundraising data architecture
- Define, standardize, and document core fundraising and marketing KPIs including retention, LTV, and revenue forecasting metrics
- Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership
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