Targeting Analyst, Emergency Cash

TL;DR

Targeting Analyst (Emergency Cash): Identifying and prioritizing communities and individuals to deliver cash in moments of crisis with an accent on humanitarian needs analysis frameworks. Focus on crisis events monitoring and providing analysis for GD teams to make activation decisions.

Location: Remote (Must overlap with an East Africa timezone by at least 3 hours)

Salary: $94,700 (United States), $61,900 (Kenya), £61,200 (UK). Salary benchmark will be provided during the hiring process for other countries.

Company

hirify.global aims to reshape international giving by providing cash grants directly to the world’s poorest.

What you will do

• Implement approaches for assessing needs in crisis-affected populations and incorporate humanitarian data sources into GD’s targeting systems.
• Surface and use novel data sources, such as from geospatial imagery, call detail records, and social media.
• Provide targeting analysis with relevant subpopulations for emergency cash programs.
• Monitor global risks and crises, providing analysis for GD teams to make activation decisions.
• Participate in product development, working with engineering, data science, and operations.
• Evaluate and improve targeting approaches for speed, accuracy, and inclusivity.

Requirements

• Exceptional alignment with hirify.global values.
• 3-5+ years experience conducting humanitarian needs analysis to inform operational planning.
• 2+ years of experience producing data tools and providing actionable information to decision-makers and operational teams.
• Demonstrated ability to design and implement reusable analysis approaches.
• High technical fluency across data analytics and data science.
• Excellent stakeholder management and communication skills.

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 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.

Culture & Benefits

• Support flexibility, take care of each other, have fun, and create professional growth opportunities.