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[Remote] Targeting Analyst, Emergency Cash (Remote)

Worldwide Salaried Open

Note: The job is a remote job and is open to candidates in USA. GiveDirectly is a leading organization that has delivered over $1B in cash directly to people living in poverty. They are seeking a Targeting Analyst to identify and prioritize communities for cash delivery during crises, utilizing various data sources to inform their emergency cash programs.

Responsibilities

  • 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 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
  • 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
  • Continuously evaluate and improve targeting approaches for speed, accuracy, and inclusivity, while maintaining humanitarian principles
  • Stay abreast of emerging technology and new data sources to ensure GD is leveraging cutting-edge approaches to targeting
  • Document learning to scale best practices across different contexts

Skills

  • Exceptional alignment with GiveDirectly values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity
  • 3-5+ years experience conducting humanitarian needs analysis — assessing vulnerabilities, interpreting crisis data, and applying frameworks such as the IPC, MIRA, or sectoral needs assessments — to directly inform operational planning
  • 2+ years of experience producing data tools, with a track record of providing actionable, humanitarian information products to decision makers and operational teams
  • Demonstrated ability to design and implement reusable analysis approaches that scale across multiple contexts
  • High technical fluency across data analytics and data science – ability to ask the right questions, internalize technical tradeoffs between approaches, and shape complex data and technical challenges into operationally viable targeting strategies
  • Excellent stakeholder management and communication skills across technical and non-technical audiences, including humanitarian agencies and data providers
  • Proven ability to thrive in fast-changing, high-stakes environments
  • Ability to adapt to change and navigate ambiguity and a curiosity-driven mindset
  • Ability to balance speed and rigor in high uncertainty
  • Prior field experience in humanitarian response or international social protection programs in resource constrained contexts
  • Familiarity with data security and privacy frameworks in sensitive contexts
  • Comfort working in SQL, Python, or R for data manipulation and analysis; Experience working with a data visualization tool
  • Experience in geospatial data analysis and knowledge of applications for GIS in humanitarian response
  • Experience using generative AI for decision support

Benefits

  • Bonus at Target Performance: 10% (~$9,470 with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $11,080)
  • Bonus at Target Performance: 10% (~£6,120 with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be £7,160)
  • Bonus at Target Performance: 10% (~$6,190 with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $7,242)
  • Annual Benefits Stipend: $21,393
  • Annual Benefits Stipend: £2,760
  • A supportive team that works hard and cares hard
  • A robust health benefits plan (exact details will vary by country)
  • Flexible paid time off that staff is encouraged to take
  • Allowances for desk set-up and learning and development

Company Overview

  • GiveDirectly is a nonprofit organization. It was founded in 2008, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is https://www.givedirectly.org/.
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