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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.

What is a humanitarian data analyst?

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.

How does a humanitarian data analyst typically collaborate with field teams and decision-makers?

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.

What are the key skills and qualifications needed to thrive as a humanitarian data analyst, and why are they important?

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.

Do humanitarians get paid well?

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.

What does a humanitarian data analyst do?

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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Humanitarian Data Analyst jobs near you
Infographic showing various Humanitarian Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Financial Analyst

Beacon Hill Staffing Group, LLC

Evanston, IL • On-site

$80K - $90K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Our client is a global, mission driven nonprofit organization that connects community and business leaders to address humanitarian challenges, strengthen communities, and create lasting change around the world. This is a hybrid position requiring regular onsite work in Evanston.

The Senior Financial Analyst will support financial planning and analysis, budgeting, forecasting, management reporting, and strategic decision making. This role will partner with business leaders to analyze financial performance, develop reporting tools, and translate complex data into actionable insights.

Responsibilities

• Prepare annual budgets, forecasts, and long range financial plans
• Analyze monthly and quarterly results, including budget to actual and forecast variances
• Develop financial models and scenario analyses to support business decisions
• Build and maintain Power BI dashboards, reports, and data visualizations
• Consolidate financial and operational data from multiple sources
• Identify trends, risks, and opportunities affecting financial performance
• Prepare financial packages and presentations for leadership
• Partner with department leaders on budgets, forecasts, and expense management
• Support month end close, accruals, account analysis, and financial reporting
• Improve and automate reporting processes to increase accuracy and efficiency
• Assist with special projects and ad hoc financial analysis

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, or a related field
• At least three years of financial analysis, FP&A, or related experience
• Hands on Power BI experience required, including dashboard and report development
• Experience with budgeting, forecasting, variance analysis, and financial modeling
• Advanced Microsoft Excel skills
• Ability to analyze large data sets and communicate findings clearly
• Experience working with ERP and financial planning systems preferred
• Nonprofit or global organization experience preferred
• Ability to work onsite in Evanston as part of a hybrid schedule

Schedule

Hybrid schedule with required onsite work in Evanston, Illinois

Qualified candidates are encouraged to apply. Our team will reach out to discuss the opportunity and next steps.