opengreenhousetechchange
Targeting Analyst, Emergency Cash (Remote)
GiveDirectly
LocationRemote, Global
WorkplaceFull
Last observed2026-06-13 05:25:32.567023
Job idtechchange-givedirectly:greenhouse:4696894005
GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist , NPR , TED , and The Washington Post . We are one of Time100’s Most Influential Companies of 2026. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do . If they resonate, this could be a great fit! Contract type: This position is a full-time one-year fixed-term contract , with the possibility of renewal, extension, or transition to a permanent role. Location: Fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Reports to: Senior Product Manager - Targeting, Emergency Cash Travel Requirement: 10–20% (~1 week every 2 months for team retreats and response support) Role Overview GiveDirectly is seeking a Targeting Analyst to identify and prioritize communities and individuals to deliver cash to in moments of crisis. This person will serve as the analyst for targeting within the Emergency Cash (EC) Product team, using a variety of data sources and tools to inform GD on: When and where a crisis event has occurred that fits GD response criteria. Which subpopulations are most affected and relevant for our programs. The actionable lists of individuals to enroll for assistance. The analyst will apply humanitarian needs analysis frameworks to ensure that our emergency cash response is data-driven and contextually grounded. The ideal candidate will have a background in humanitarian data analysis, using both traditional and novel data sources, as well as experience delivering actionable data products to decision makers and operational teams. The analyst will give input to shape analysis product design, and work closely with engineers and data scientists to create them. What You’ll Do Rapidly Analyze Humanitarian Needs Implement approaches for systematically assessing needs in crisis-affected populations. Incorporate traditional humanitarian data sources (e.g., needs assessments, poverty statistics, vulnerability indices, displacement monitoring, etc.) and novel data sources (e.g., geospatial imagery, call detail records, social media, crowd-sourcing, etc.) into GD’s targeting systems. Provide clear targeting analysis with relevant subpopulations for emergency cash programs as a service to other teams, visualizing data on maps and dashboards. Based on determined targeting criteria, general recipient lists of individuals to be enrolled in GD EC programs. Provide targeting analysis services for both GD’s preparedness and response states – scoping and prioritizing relevant subpopulations based on pre-existing risks and delivering on-demand analysis during response deployments (remote). Monitor and Analyze Crisis Events Monitor global risks and crises, providing analysis for GD teams to make activation decisions. Communicate with humanitarian agencies, data providers, and crisis monitoring organizations to integrate reliable event and assessment data into GD’s workflow. Systems Participate in product development from problem discovery and user requirements gathering to launch and iteration, working with engineering, data science, and operations. Conduct agile iterative experiments and pilots to validate assumptions about crisis detection and targeting, using results to refine strategy. Define and track success metrics for targeting tools, ensuring outputs are timely, relevant, and usable in the field. Maintain internal data source documentation, including a qualitative assessment of accuracy, reliability, and limitations of sources and datasets. Drive Efficie
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