Core Responsibilities

Data Product and Metrics Ownership

• 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

Strategic Fundraising and Marketing Analytics

• 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

Donor & Revenue Insights

• 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

Data Infrastructure & Platform Contribution

• 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

Qualifications

• We recognize that strong candidates may not meet every requirement listed below. If this role excites you, we encourage you to apply.

Required

• 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics
• Strong experience setting vision and priorities for data products from significant ambiguity
• Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction
• Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
• Strong Python proficiency
• Experience building forecasting models (e.g., revenue, LTV, retention)
• Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation)
• Ability to navigate ambiguity and independently shape how data informs organizational strategy