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Geospatial Intelligence information

See Ohio salary details

$59.4K

$73.5K

$87.9K

How much do geospatial intelligence jobs pay per year?

As of Aug 19, 2026, the average yearly pay for geospatial intelligence in Ohio is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $78,000.00 per year, depending on experience, location, and employer.

What is geospatial intelligence?

Geospatial intelligence (GEOINT) is the collection, analysis, and interpretation of imagery and geospatial information to describe, assess, and visually depict physical features and activities on Earth. GEOINT combines satellite imagery, aerial photography, maps, and other geographic data to support national security, disaster response, and various decision-making processes. Professionals in this field use advanced technologies and analytical methods to provide actionable insights for government agencies, military operations, and private organizations.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or related fields, often supported by a relevant degree. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing technologies, and data visualization tools is typically required, along with certifications like GEOINT Professional Certification (GPC) being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights. These skills are essential for accurately analyzing geospatial data, supporting decision-making, and contributing to national security or commercial objectives.

What are some common challenges faced by professionals working in geospatial intelligence roles?

One common challenge in Geospatial Intelligence roles is managing and analyzing large volumes of complex spatial data from various sources, including satellite imagery, aerial photography, and sensor feeds. GEOINT professionals must ensure data accuracy and timeliness, often working under tight deadlines to support critical decision-making. They also need to stay current with evolving technologies and analytical tools, while collaborating closely with multidisciplinary teams such as analysts, IT specialists, and field operators. Balancing technical skills with effective communication is key to translating geospatial insights into actionable intelligence.

What is the difference between Geospatial Intelligence vs GIS Analyst?

AspectGeospatial IntelligenceGIS Analyst
Required CredentialsOften requires security clearance, GIS certifications, and relevant degreesTypically requires GIS certifications and a degree in geography or related field
Work EnvironmentGovernment agencies, defense, intelligence, and military sectorsPublic and private sector organizations, urban planning, environmental agencies
Employer & Industry UsageUsed primarily in defense, intelligence, and national securityUsed in urban planning, environmental management, and business analysis
Search & Comparison IntentOften compared for roles involving security and strategic analysisCompared for geographic data analysis and mapping roles

Geospatial Intelligence focuses on strategic, security, and defense applications, often requiring security clearances. In contrast, GIS Analysts primarily work on mapping, spatial data analysis, and urban or environmental projects. While both roles involve geospatial skills, their work environments and objectives differ significantly.

Is geospatial intelligence a good career field?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances or specialized training. The career offers opportunities in government agencies, defense contractors, and private sector companies with a demand for technical expertise.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental decision-making. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector companies with competitive salaries and advancement potential.

What are popular job titles related to Geospatial Intelligence jobs in Ohio?

For Geospatial Intelligence jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Geospatial Intelligence jobs in Ohio look for?

The top searched job categories for Geospatial Intelligence jobs in Ohio are:

Geospatial Intelligence jobs near you
Infographic showing various Geospatial Intelligence job openings in Ohio as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

SAR Scientists & Spectral Scientists - Multiple Positions with Security Clearance

NV5 Geospatial Inc

Dayton, OH • On-site

Other

Posted 6 days ago

Job description

Senior SAR Scientist and Spectral Scientist – Multiple Positions Location: Dayton, OH (Wright-Patterson Air Force Base) Clearance Required: Active Top Secret with SCI eligibility Employment Type: Full-Time Position Overview NV5 is seeking an experienced and highly motivated Senior SAR Scientist and Spectral Scientist to support operational intelligence missions and applied research and development activities for the National Air and Space Intelligence Center (NASIC) and the National Space Intelligence Center (NSIC). This role involves the acquisition, processing, modeling, analysis, cataloging, and dissemination of non-literal Geospatial Intelligence (GEOINT) derived from both active and passive electro-optical sensors, including Synthetic Aperture Radar (SAR), multispectral, hyperspectral, and thermal infrared data. The successful candidate(s) will contribute to the development of intelligence products, technical reports, presentations, algorithms, analytical tools, workflows, training materials, CAD models, and technical papers that support national security objectives. Key Responsibilities :
-Utilize advanced GEOINT tools to analyze and exploit remotely sensed data and produce intelligence products. -Perform non-literal exploitation of either active sensor data (including Synthetic Aperture Radar (SAR)) and passive sensor data (including multispectral, hyperspectral, and thermal infrared imagery). -Integrate exploitation results with contextual research and electro-optical (EO) literal analysis to provide meaningful intelligence assessments. -Analyze unique, anomalous, and complex datasets using engineering principles and physics-based analytical approaches. -Develop and improve processes, methodologies, and workflows to support advanced GEOINT exploitation. -Perform quality assurance and quality control reviews of analytical products prior to dissemination. -Support algorithm development and process automation through scripting and software-based analytical solutions. -Produce and deliver intelligence reports, technical papers, briefings, presentations, and training materials. -Complete all required security, network, and sensor discipline training. Required Qualifications: -Active Top Secret security clearance with SCI eligibility. -Bachelor's degree in a STEM-related field such as: Physics, Chemistry, Engineering, Computer Science, Data Science, Mathematics, Imagery Science.
-10+ years of experience in geospatial intelligence, remote sensing, imagery analysis, or a related technical field. -Strong technical writing, briefing, and presentation skills. -Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint). -Ability to work independently and collaboratively within a multidisciplinary team. Preferred Qualifications: -Master's or Ph.D. in Chemistry, Physics, Imagery Science, Engineering, Mathematics, Computer Science, Data Science, or related STEM field. -Experience exploiting and analyzing active or passive remote sensing data, including: Synthetic Aperture Radar (SAR), Multispectral imagery, Hyperspectral imagery, Thermal Infrared (IR) data.
-Experience with GEOINT exploitation and geospatial software tools, including: ENVI, SOCET GXP, RemoteView, ArcGIS, Similar imagery analysis platforms.
-Experience with scientific programming and data analysis tools such as: Python, MATLAB, R, IDL. -Experience developing algorithms, scripting solutions, and automating analytical workflows.

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