• 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