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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