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Geospatial Intelligence Analyst Jobs in Minnesota

... and Intelligence Community mission objectives. The incumbent leads the development of secure ... requirements analysis, system architecture, application development, testing, deployment ...

Core GEOINT SME Mid

Duluth, MN · On-site

$90K - $118K/yr

This role supports foundational and fundamental GEOINT learning, including intelligence communications, critical thinking, geospatial thinking, deployed analysis, cyber GEOINT, and cross-discipline ...

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating ...

Senior Network Engineer

Virginia, MN · On-site

$100K - $137K/yr

Job Summary Geospatial and Cloud Analytics (GCA) is seeking a Senior Network Engineer to join our ... Intelligence Community and the rapidly evolving Information Technology sector. #J-18808-Ljbffr

AI Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

... intelligence (AI), including automated image, video, text, and multimodal analysis. Our solutions ... Experience with geospatial coordinates systems and transformation * Experience with multiple large ...

AI Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

... intelligence (AI), including automated image, video, text, and multimodal analysis. Our solutions ... Experience with geospatial coordinates systems and transformation * Experience with multiple large ...

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Geospatial Intelligence Analyst information

See Minnesota salary details

$21.5K

$75.9K

$119.5K

How much do geospatial intelligence analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for geospatial intelligence analyst in Minnesota is $75,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $78,400.00 per year, depending on experience, location, and employer.

What does a geospatial intelligence analyst do?

As a geospatial intelligence analyst, your job is to support national defense operations by using visual images to gather information about geography and landscapes. Many details of this job depend on the employer and their needs, but you may perform tasks like finding alternative routes for blocked roads or searching for areas that could be used to ambush convoys. Geospatial intelligence officers often work for the military or the federal government, either as full-time employees or independent contractors. However, you may also be able to find a few private security jobs. You can do this work alone, but intelligence analysts often work with local law enforcement or other organizations to research time-sensitive questions.

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, a background in geography or related fields, and proficiency in interpreting spatial data, usually supported by a relevant degree or military training. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and intelligence analysis systems is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for conveying complex information and collaborating with multidisciplinary teams. These skills and qualifications are crucial for producing accurate intelligence assessments that inform decision-making and national security operations.

How does a geospatial intelligence analyst typically collaborate with other teams within an organization?

Geospatial Intelligence Analysts often work closely with multidisciplinary teams, including data scientists, military personnel, and policy makers. They collaborate to interpret satellite imagery, analyze spatial data, and provide actionable intelligence for decision-making. Regular communication and coordination are essential to ensure that geospatial insights are effectively integrated into broader intelligence products and mission planning. This collaborative environment helps analysts refine their findings and ensures that their work supports overall organizational objectives.

What is the difference between Geospatial Intelligence Analyst vs GIS Analyst?

AspectGeospatial Intelligence AnalystGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; security clearance often preferredBachelor's in Geography, GIS, or related field; certifications like GISP beneficial
Work EnvironmentGovernment agencies, defense, intelligence, militaryUrban planning, environmental agencies, private sector
Employer & Industry UsagePrimarily in defense, intelligence, national securityPublic and private sectors, urban planning, environmental management

While both roles involve geospatial data, Geospatial Intelligence Analysts focus on national security and defense applications, often requiring security clearances. GIS Analysts typically work in urban planning, environmental management, and commercial sectors, emphasizing geographic data analysis for various projects.

Is a geospatial intelligence analyst a good career?

A geospatial intelligence analyst is a valuable role that involves analyzing geographic data to support national security, defense, and intelligence operations. The job typically requires skills in GIS software, remote sensing, and data analysis, with opportunities for advancement and specialized certifications. It offers a stable career path with demand in government agencies and defense contractors.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It often requires skills in GIS software, remote sensing, and data analysis, with opportunities for advancement and specialized certifications. The career can be stable and rewarding for those interested in technology and spatial data analysis.

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

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

Infographic showing various Geospatial Intelligence Analyst job openings in Minnesota as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,899 per year, or $36.5 per hour.

Geospatial Systems Engineer

Virginia, MN • On-site

Other

Medical, Dental, PTO

Posted 11 days ago


Job description

Benefits
  • Company parties
  • Dental insurance
  • Health insurance
  • Paid time off
  • Parental leave
  • Training & development
Geospatial Systems Engineer (TS/SCI)

Location: Springfield, VA

Position Summary

An active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance is required for this position.

The Senior Geospatial Systems Software Engineer provides technical leadership in the design, integration, and sustainment of enterprise geospatial systems supporting Department of War and Intelligence Community mission objectives. The incumbent leads the development of secure, scalable, cloud-enabled geospatial solutions that align with Army modernization and enterprise convergence initiatives. This position requires extensive experience architecting enterprise GIS solutions, leading DevSecOps initiatives, implementing containerized applications, and integrating geospatial services within secure environments.

Essential Duties and Responsibilities
  • Lead the architecture, design, development, integration, and sustainment of secure enterprise geospatial systems supporting Department of War and Intelligence Community mission objectives.
  • Translate operational and technical requirements into scalable geospatial solutions aligned with Army modernization, enterprise convergence, and mission priorities.
  • Provide technical leadership throughout the software development lifecycle, including requirements analysis, system architecture, application development, testing, deployment, integration, and sustainment using Agile, Scrum, and DevSecOps methodologies.
  • Architect, deploy, and maintain containerized geospatial applications and microservices using Docker, Kubernetes, and OpenShift while implementing CI/CD pipelines, automated testing, Static Code Analysis, Container Security Scanning, and vulnerability remediation.
  • Design, develop, and integrate enterprise GIS solutions utilizing ArcGIS Enterprise, ArcGIS Pro, QGIS, GeoServer, PostGIS/PostgreSQL, commercial geospatial exploitation tools (ENVI, RemoteView, ERDAS IMAGINE, Skyline), and interoperable OGC-compliant services (WMS, WFS, WMTS, WCS, and OGC API – Features).
  • Develop and optimize enterprise geospatial data pipelines supporting the acquisition, processing, transformation, storage, dissemination, and analysis of geospatial data while enabling AI/ML integration and advanced analytics.
  • Ensure compliance with Risk Management Framework (RMF), Security Technical Implementation Guides (STIGs), cybersecurity policies, access control requirements, and enterprise security standards.
  • Conduct architecture reviews, code reviews, quality assurance evaluations, database design sessions, and technical assessments to ensure system reliability, security, and performance.
  • Collaborate with government stakeholders, software developers, cybersecurity personnel, and system administrators to deliver secure, interoperable geospatial capabilities that meet mission requirements.
  • Mentor and provide technical guidance to software engineers while promoting engineering best practices, continuous improvement, and knowledge sharing.
  • Prepare and maintain technical documentation, architecture artifacts, implementation guides, and engineering standards supporting enterprise geospatial systems.
Required Qualifications
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
  • U.S. Citizenship.
  • Bachelor's or Master's degree in Information Systems, Computer Science, Software Engineering, Geographic Information Systems, or a related technical discipline.
  • Minimum of 10 years of experience in systems engineering, software engineering, systems integration, or enterprise application development supporting large-scale systems.
  • Minimum of 5 years supporting Department of War, Intelligence Community, or other U.S. Government programs.
  • Demonstrated experience leading enterprise GIS architecture, development, and systems integration efforts within secure environments.
  • Extensive experience designing, deploying, and managing containerized applications using Docker, Kubernetes, and OpenShift.
  • Demonstrated experience implementing DevSecOps practices, CI/CD pipelines, Static Code Analysis, and Container Security Scanning.
  • Strong knowledge of RMF, STIG compliance, cybersecurity best practices, and secure software development methodologies.
  • Advanced programming experience with Python, JavaScript, C++, C#, HTML, and SQL.
  • Extensive experience with ArcGIS Enterprise, ArcGIS Pro, GeoServer, QGIS, PostGIS/PostgreSQL, and enterprise geospatial architectures.
  • Expert knowledge of OGC standards and implementation of interoperable geospatial services.
  • Demonstrated experience leading Agile software development teams and mentoring technical personnel.
Preferred Qualifications
  • Experience supporting Army modernization initiatives or enterprise geospatial modernization programs.
  • Experience developing cloud-native geospatial applications and microservices.
  • Experience supporting multi-domain operations and cross-domain geospatial data sharing.
  • Experience integrating AI/ML capabilities into enterprise geospatial environments.
  • Experience with commercial geospatial exploitation tools, including ENVI, RemoteView, ERDAS IMAGINE, and Skyline.
  • Relevant professional certifications in Kubernetes, cloud technologies, GIS, cybersecurity, or Agile methodologies.
Knowledge, Skills, and Abilities
  • Knowledge of enterprise geospatial architectures, systems integration, and secure software engineering.
  • Knowledge of containerization technologies, Kubernetes orchestration, OpenShift administration, and cloud-native application development.
  • Knowledge of DevSecOps methodologies, CI/CD automation, infrastructure as code, and enterprise security frameworks.
  • Knowledge of RMF, STIG implementation, access control, vulnerability management, and secure software development life cycle practices.
  • Ability to architect scalable enterprise GIS solutions supporting Department of War and Intelligence Community missions.
  • Ability to lead multidisciplinary engineering teams and mentor technical personnel.
  • Ability to communicate complex technical concepts effectively to program leadership, engineers, and mission stakeholders.
  • Ability to manage multiple technical priorities while supporting mission-critical operational requirements.
  • Ability to prepare and maintain technical documentation, architecture artifacts, implementation plans, and engineering standards.
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