Humanitarian Data Analyst information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do humanitarian data analyst jobs pay per year?
As of Aug 18, 2026, the average yearly pay for humanitarian data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
Humanitarian Data Analysts are professionals who collect, process, and interpret data to support humanitarian organizations in making informed decisions during crises, such as natural disasters or conflicts. They analyze data on populations, needs, resources, and outcomes to help organizations target aid, allocate resources efficiently, and measure the impact of their interventions. Their work involves using statistical tools, data visualization, and geographic information systems (GIS) to present actionable insights to decision-makers. By transforming raw data into clear, actionable information, they play a critical role in improving humanitarian response and outcomes.
A Humanitarian Data Analyst frequently works in close partnership with field teams to gather accurate data and understand the context behind the numbers. They also collaborate with decision-makers and program managers to translate raw data into actionable insights for project planning and response strategies. Effective communication is essential, as analysts must often present complex findings in accessible formats tailored to diverse audiences. Regular interactions with both technical and non-technical colleagues help ensure that data-driven recommendations are both practical and impactful.
To thrive as a Humanitarian Data Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as statistics, data science, or international development. Familiarity with tools like Excel, SQL, GIS software, and data visualization platforms (e.g., Power BI or Tableau) is typically required, along with experience in humanitarian information systems. Attention to detail, cross-cultural communication, and collaboration skills help analysts interpret data accurately and work effectively with diverse teams. These abilities are crucial for transforming complex data into actionable insights that guide humanitarian response and resource allocation.
Humanitarian data analysts typically earn moderate salaries that vary based on experience, location, and organization. While some positions offer competitive pay, many roles in the sector may have lower salaries compared to private industry, often supplemented by benefits and opportunities for fieldwork. Salary levels can also depend on the level of technical skills and certifications held.
A humanitarian data analyst collects, analyzes, and interprets data related to humanitarian crises to support decision-making and aid delivery. They use tools like Excel, statistical software, and GIS to identify trends, assess needs, and improve response strategies in emergency situations.
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