Humanitarian Analyst (Volunteer)

Core responsibilities:

• Contribute to regular regional situation reports, country briefs, and thematic outputs published on SituationHub
• Conduct secondary data collection, desk research, evidence synthesis, and trend identification
• Identify early indicators relating to humanitarian needs, risks, access issues, displacement, and shocks
• Use AI-assisted research and drafting tools to support analytical production

This role creates positive change by ensuring that every humanitarian crisis, especially neglected ones, receives consistent, professional-grade situational analysis that is freely shared with local responders, affected communities, NGOs, and the wider humanitarian community.

Required skills and qualifications:

• Early-career professionals or experienced humanitarians with strong research, writing, synthesis, and critical reasoning skills
• Fluency in French, Spanish, Arabic, or other official local languages with ability to draft professional analytical reports
• Ability to commit 5–10 hours per week reliably over a 6-month period
• Comfortable working in a remote, collaborative environment with deadlines

Compensation and perks:

• Volunteer position (unpaid)
• Practical experience in real-world humanitarian analysis
• Training and skill-building through DFS capacity-building sessions
• Exposure to AI-assisted humanitarian workflows and reporting tools
• Visibility and publication credit for contributions on SituationHub
• Certificate of completion upon successful completion of the programme
• Priority consideration for paid roles as the initiative scales

Data Friendly Space (DFS) is a 501(c)(3) non-profit organization that helps social impact organizations get things done, with specific emphasis on technology, AI, and data analysis, building a global volunteer network to ensure humanitarian crises receive consistent, professional-grade situational analysis.