TL;DR

Targeting Analyst (Emergency Cash): Identifying and prioritizing communities and individuals for emergency cash grants in crisis moments with an accent on humanitarian needs analysis, data source integration, and actionable data product delivery. Focus on assessing vulnerabilities, interpreting crisis data, and systematically monitoring global risks.

Location: Remote, requires overlapping with an East Africa timezone by at least 3 hours

Company

%hirify_global% is a non-profit organization focused on reshaping international giving by providing cash grants directly to the world's poorest in moments of crisis.

What you will do

Implement systematic approaches for assessing needs in crisis-affected populations.
Incorporate diverse humanitarian data sources, including novel ones, into GD’s targeting systems.
Provide clear targeting analysis with relevant subpopulations and visualize data on maps and dashboards.
Generate recipient lists for emergency cash programs and provide analysis for preparedness and response deployments.
Monitor global risks and crises, providing analysis for activation decisions and integrating data from humanitarian agencies.
Participate in product development, conduct agile iterative experiments, and define success metrics for targeting tools.

Requirements

Exceptional alignment with %hirify_global% values and active demonstration of 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 (e.g., IPC, MIRA).
2+ years of experience producing actionable data tools, with a track record of providing 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 to ask the right questions and shape complex data challenges into operationally viable strategies.
Excellent stakeholder management and communication skills across technical and non-technical audiences.

Nice to have

Prior field experience in humanitarian response or international social protection programs.
Familiarity with data security and privacy frameworks in sensitive contexts.
Comfort working in SQL, Python, or R for data manipulation and analysis.
Experience in geospatial data analysis and knowledge of applications for GIS in humanitarian response.
Experience using generative AI for decision support.

Culture & Benefits

Candid, analytical, agile, and non-hierarchical culture emphasizing core values.
Commitment to fostering an inclusive and accessible work environment, supporting flexibility and professional growth.
Equal Opportunity Employer.
Systematic checks with previous employers regarding abuse or misconduct related matters involving potential new hires.
Annual travel requirement of 10–20% (~1 week every 2 months).
Commitment to safeguarding recipients, staff, and partners with a policy of “zero tolerance” for abuse or exploitation.