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Humanitarian Data Analyst Jobs (NOW HIRING)

... and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100 ... The Senior Data and Systems Manager oversees data validation, data analytics, help desk and systems ...

... and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100 ... The Senior Data and Systems Manager oversees data validation, data analytics, help desk and systems ...

$100 - $125/hr

You will join a small senior team supporting a data science group of about ten. The work is a steady cadence of production analytics and ML pipelines serving humanitarian, biomedical, and training ...

Proficiency in data analysis, with the ability to interpret both qualitative and quantitative ... humanitarian aid. CBN offers a professional and rewarding work environment, competitive salary, and ...

... humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and ... Provide statistical data analysis, modeling, simulation, optimization, and analytical support to ...

You will join a small senior team supporting a data science group of about ten. The work is a steady cadence of production analytics and ML pipelines serving humanitarian, biomedical, and training ...

$125 - $150/hr

... humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and ... Provide statistical data analysis, modeling, simulation, optimization, and analytical support to ...

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Humanitarian Data Analyst information

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$34K

$82.6K

$136K

How much do humanitarian data analyst jobs pay per year?

As of Sep 8, 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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Cities with the most Humanitarian Data Analyst job openings:

What states have the most Humanitarian Data Analyst jobs?

States with the most job openings for Humanitarian Data Analyst jobs include:

What job categories do people searching Humanitarian Data Analyst jobs look for?

The top searched job categories for Humanitarian Data Analyst jobs are:

Infographic showing various Humanitarian Data Analyst job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data and Systems Manager

Credence

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
We are currently seeking prospective candidates for an upcoming opportunity with the Administration for Children and Families (ACF) Office of Refugee Resettlement (ORR). This requirement provides critical mission support across various technical, program management, and administrative functions to assist ORR in its mission to promote the health, well-being, and stability of refugees and unaccompanied children. The Senior Data and Systems Manager oversees data validation, data analytics, help desk and systems support for Refugee Resettlement and Unaccompanied Alien Children (UAC) programs.
Candidates must reside in the Washington-D.C. area full-time but able to travel intermittently in support of ORR-funded programs across the continental United States.
Responsibilities include, but are not limited to the duties listed below:
  • Provide quantitative and qualitative analysis to identify trends, performance indicators, and outcomes.
  • Update and maintain data systems using automation and scripting tools (such as R, Python, and SQL) to extract and transform data.
  • Create and maintain real-time programmatic dashboards using platforms like Tableau, Palantir, and Salesforce.
  • Ensure the quality, organization, and completeness of programmatic data through rigorous quality control.
  • Identify, triage, and resolve or escalate system issues for users of government applications to appropriate technical teams.
  • Fulfill regularly occurring and ad hoc data inquiries and reports within specific deadlines.
  • Resolve application issues that require modification through the user interface and troubleshoot complex cases for end-users.
  • Provide forecasting and modeling support to inform mission priorities and resource management.
  • Assist with the roll-out of new technology solutions and modernization efforts across the technical division.
  • Manage relational databases and application programming interfaces (APIs).

Requirements
Minimum Qualifications
  • Experience: Minimum 7 years of relevant experience in data science, systems management, or IT operations.
  • Leadership: Minimum 3 years of supervisory or team lead experience.
  • Education: Bachelor's degree in Data Science, Information Technology, or relevant subject; Master's degree preferred.
  • Certification: Relevant technical certifications (e.g., SQL, Tableau, Salesforce) preferred.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development