Responsibilities
- Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams
- Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals
- Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually
- Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions
- Identify recurring analytical needs and convert them into scalable, automated data products
- Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders
- Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer
- Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time
- Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion
- 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
- Proactively surface decision-relevant insights, even when questions are not fully formed
- Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance
- Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing)
- Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements
- Surface high-leverage opportunities to improve conversion, retention, and revenue durability
- Collaborate with data engineers and analytics peers to improve data quality, access, and trust
- Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling
- Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time
- Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics
- Maintain high standards of analytical rigor, documentation, and reproducibility
Team
Structure: Senior individual contributor with significant scope and autonomy.
Additional Information
- Must overlap with an East Africa timezone by at least 3 hours.
- Travel 2–3 times per year for team retreats or planning sessions.
- Unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.
