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Humanitarian Data Analyst Jobs (NOW HIRING)

Credence

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

... and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100 ... Data Discovery & Current State Analysis * Lead data discovery sessions with stakeholders to ...

Credence

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

... and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100 ... Data Discovery & Current State Analysis * Lead data discovery sessions with stakeholders to ...

Care International

DATA SOLUTION ARCHITECT

Atlanta, GA · On-site

As a global leader, CARE is shaping the future of the humanitarian and development sector. Each ... Work in an agile environment to analyze, design, develop and deliver Enterprise Data Warehouse ...

CMA CGM

Sr. Corporate Accounting Analyst

Norfolk, VA · On-site

$62K - $76.50K/yr

Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency ... Analyze legal entity and/or department data and results using established procedures; continually ...

The Voleon Group

Senior Compensation Analyst

Berkeley, CA · On-site +1

$140K - $150K/yr

... humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that ... Leverage Workday and related systems to support compensation administration, reporting, and data ...

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How much do humanitarian data analyst jobs pay per year?

As of Jun 1, 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 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.

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 Humanitarian Data Analysts?

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.
More about Humanitarian Data Analyst jobs
What cities are hiring for Humanitarian Data Analyst jobs? Cities with the most Humanitarian Data Analyst job openings:
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Humanitarian Data Analyst jobs near you
Infographic showing various Humanitarian Data Analyst job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 84% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Architect

Data Architect

Credence

Mclean, VA • On-site

$64.50 - $83/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 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
Credence has an immediate need for a Data Architect to lead the design, integration, and documentation of enterprise reporting and analytics solutions within a cloud environment.
In this role, the Data Architect will be responsible for developing scalable architectural frameworks, robust data models, and enterprise integration strategies that support mission-critical analytics capabilities. The position requires close alignment with Federal and DoD standards, ensuring compliance, security, and best practices across all data solutions.
The ideal candidate will play a key role in shaping data architecture strategy, enabling data-driven decision-making, and ensuring the seamless integration of diverse data sources across the enterprise.
Responsibilities include, but are not limited to the duties listed below:
Architectural Design & Integration
  • Develop and deliver an Architectural Design and Integration Plan with Configuration Requirements demonstrating compliance with enterprise reporting needs in a GovCloud environment.
  • Must have the ability to design and implement data access controls based on user roles and permissions.
  • Define a conceptual deployment framework for reporting tools within the GovCloud architecture.
  • Collaborate with the Integrated Product Team (IPT) to ensure alignment with enterprise integration requirements.
  • Produce logical and physical architecture diagrams illustrating system components, interactions, infrastructure, and deployment strategies.
  • Ensure alignment with DevSecOps best practices across Development, Staging, and Production environments.
  • Communicate environment configuration requirements to Managed Service Providers (MSPs) to ensure consistency across environments.
  • Document installation, configuration processes, and lessons learned for all tools and supporting technologies.

Enterprise Tool Alignment & Compliance
  • Evaluate and incorporate platform tools where applicable.
  • Justify and document any proposed deviations, including obtaining required Government approvals.
  • Ensure interoperability and integration across enterprise analytics platforms.

Data Discovery & Current State Analysis
  • Lead data discovery sessions with stakeholders to identify:
    • Databases, schemas, tables, columns, and data objects
    • Data sources and reporting dependencies
  • Coordinate with stakeholders and report owners to validate data sources and structures.
  • Analyze data relationships, dependencies, and flows across systems.
  • Document detailed metadata including field names, data types, constraints, and relationships
  • Develop and deliver a Current State Physical Data Model with stakeholder validation.

Data Modeling & Future State Design
  • Ability to design and implement data access controls based on user roles and permissions."
  • Design and deliver Future State Logical and Physical Data Models aligned with reporting modernization goals.
  • Define optimized data structures, relationships, and data flows to support enterprise reporting.
  • Facilitate stakeholder validation sessions to ensure alignment with customer objectives for:
    • Accuracy
    • Accessibility
    • Scalability
  • Incorporate feedback and finalize models as authoritative artifacts supporting migration and consolidation efforts.

Documentation & Deliverables
  • Produce comprehensive, structured documentation including:
    • Architectural Design and Integration Plan
    • Logical and Physical Architecture Diagrams
    • Current State Data Model Documentation
    • Future State Data Models (Logical & Physical)
    • Environment Configuration Requirements (Dev, Staging, Prod)
    • Installation and Configuration Guides
  • Ensure all deliverables meet client documentation standards and are accessible for future use.

Requirements
    • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
    • 8+ years of experience in data architecture, enterprise data modeling, or analytics platforms.
    • Demonstrated experience designing solutions in cloud environments (AWS/Google GovCloud preferred).

Strong expertise in:
    • Data modeling (logical & physical)
    • Data warehousing and reporting architectures
    • ETL/ELT processes and data pipelines

Experience with one or more of the following:
    • Qlik, SAS Viya, SAP BusinessObjects
    • Cloudera ecosystem
    • Streamlit, D3, UI5
    • Experience supporting DevSecOps pipelines and environment promotion strategies.
    • Strong documentation and diagramming skills (e.g., UML, ER diagrams).

Preferred Qualifications
    • Experience working with federal government or DoD environments, particularly DLA.
    • Familiarity with data governance, security, and compliance requirements in GovCloud.
    • Experience supporting large-scale reporting modernization or consolidation efforts.
    • Knowledge of data cataloging and metadata management tools.
    • Must be a US Citizen and with the ability to obtain a Defense Secret Clearance
    • Active Clearance is 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
  • Free Food & Snacks

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