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Geospatial Research Jobs (NOW HIRING)

SOSi

Jr. Geospatial Research Analyst

SOSi is seeking a Jr. Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

SOSi

Jr. Geospatial Research Analyst

SOSi is seeking a Jr. Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

SOSi is seeking a Mid-Level Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

SOSi is seeking a Mid-Level Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

SOSi is seeking a Mid-Level Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

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Geospatial Research information

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$22K

$77.5K

$122K

How much do geospatial research jobs pay per year?

As of Aug 3, 2026, the average yearly pay for geospatial research in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is geospatial research?

Geospatial research is the study and analysis of data that is associated with specific locations on the Earth's surface. It involves collecting, processing, and interpreting geographic information using tools like Geographic Information Systems (GIS), satellite imagery, and GPS technology. This research helps in understanding spatial patterns and relationships, which can be applied in fields such as urban planning, environmental management, disaster response, and transportation. Geospatial researchers often use both quantitative and qualitative methods to solve complex real-world problems. The field is rapidly growing with advances in technology and data availability.

What is the difference between Geospatial Research vs GIS Analyst?

AspectGeospatial ResearchGIS Analyst
Required CredentialsBachelor's or higher in Geography, GIS, or related fields; often includes research experienceBachelor's in GIS, Geography, or related; certifications like GISP beneficial
Work EnvironmentResearch labs, academic institutions, government agenciesGovernment agencies, private companies, consulting firms
Employer & Industry UsageFocuses on developing new spatial methods, data analysis, and research projectsCreates, manages, and analyzes GIS data for projects and decision-making

While both roles involve spatial data, Geospatial Research emphasizes developing new methods and conducting studies, whereas GIS Analysts focus on managing and analyzing existing GIS data for practical applications.

What are some common challenges faced in a Geospatial Research role and how can they be addressed?

One common challenge in Geospatial Research is managing and processing large, complex datasets from various sources, which often require specialized software and data-cleaning techniques. Collaborating with multidisciplinary teams—such as urban planners, environmental scientists, and IT specialists—can present communication hurdles, as each discipline may use different technical language. To address these challenges, geospatial researchers often leverage robust project management tools, maintain clear documentation, and participate in cross-functional meetings to ensure alignment on project goals and data standards. Continuous learning about emerging GIS technologies and data analysis methods is also essential to stay effective in this evolving field.

What are the key skills and qualifications needed to thrive as a Geospatial Researcher, and why are they important?

To thrive as a Geospatial Researcher, you need expertise in geographic information systems (GIS), spatial analysis, and data interpretation, often supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools like ArcGIS, QGIS, remote sensing software, and programming languages such as Python or R is typically expected. Analytical thinking, problem-solving, and clear communication skills help you present complex spatial data and collaborate with interdisciplinary teams. These competencies are crucial for generating accurate insights, informing decision-making, and addressing spatial challenges in various sectors.
More about Geospatial Research jobs
What are the most commonly searched types of Geospatial Research jobs? The most popular types of Geospatial Research jobs are:
What job categories do people searching Geospatial Research jobs look for? The top searched job categories for Geospatial Research jobs are:
Geospatial Research jobs near you
Infographic showing various Geospatial Research job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 84% Full Time, 2% Part Time, 2% Contract, 10% Nights, and 1% Summer. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Jr. Geospatial Research Analyst

SOSi

Remote

Full-time

Re-posted 5 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
**This position is contingent upon contract award**
SOSi is seeking a Jr. Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • Assist in data acquisition, geospatial layer management, and quality control of GIS datasets.
  • Perform metadata tagging, source verification, and initial processing of geospatial research inputs.
  • Support dashboard updates, map production, and research documentation efforts.
  • Contribute to the Geospatial Data Readiness Report, summarizing data preprocessing efforts and metadata alignment.

Qualifications
Minimum Requirements:
  • Bachelor's degree in progress or completed in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field or;
    • A minimum of two (2) years of experience producing geospatial analytic products in these fields of study or supporting DoD geospatial and all-source analysis, research, and production.
  • Possess the expertise, knowledge, and capability to apply geospatial analytics and all-source intelligence methodologies, theories, and frameworks; and AI/ML, data quality, enrichment, and stewardship processes and techniques to research to:
    • Produce geospatial and all-source intelligence analytic products.
    • Steward data using NIST, DoD, IC regulations, policies, and best practices.
    • Produce and curate country and regional pages on program.
    • Understand analytic requirements.
    • Use Esri ArcGIS analytic tools (e.g., ArcGIS Pro, ArcGIS REST API) and other data steward tools, catalogs, techniques, and processes to produce and manage data.

Preferred Qualifications:
  • Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source Intelligence analytic methodology are advantageous but not required.

Additional Information
Work Environment
  • The work to be performed remotely
  • Must have strong internet connection
  • Quit workspace free from interruptions and background noise

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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