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Geospatial Analyst Jobs in Virginia (NOW HIRING)

What Impact You'll Have GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data ...

GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and ...

Geospatial Analyst III

Glen Allen, VA · Hybrid

$75K - $97K/yr

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team in our Richmond, VA office. Typical responsibilities include development of geospatial data, maps ...

Geospatial Analyst - Mid

Falls Church, VA · On-site

$85K - $105K/yr

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

Geospatial Analyst III

Glen Allen, VA · On-site

$75K - $97K/yr

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team in our Richmond, VA office. Typical responsibilities include development of geospatial data, maps ...

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

Geospatial Analysis SME Lead TULK is a boutique strategic technology and management consulting firm supporting U.S. Federal Government, Defense, Intelligence Community, and National Security ...

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Geospatial Analyst information

See Virginia salary details

$21.8K

$76.8K

$121K

How much do geospatial analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for geospatial analyst in Virginia is $76,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $79,300.00 per year, depending on experience, location, and employer.

What are some common challenges Geospatial Analysts face when integrating data from multiple sources?

Geospatial Analysts often work with datasets that come from a variety of sources, such as satellite imagery, GPS, and public databases. A common challenge is ensuring data compatibility and accuracy, as each source may use different formats, scales, or coordinate systems. Analysts need strong attention to detail to resolve discrepancies, standardize data, and maintain data quality. Collaboration with IT teams and data providers is essential for troubleshooting integration issues and ensuring smooth workflows.

What does a Geospatial Analyst do?

A Geospatial Analyst collects, analyzes, and interprets geographic data to support decision-making in various fields such as urban planning, environmental management, defense, and business. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to create maps, identify patterns, and solve spatial problems. Their work helps organizations visualize and understand complex spatial relationships, enabling more informed planning and resource allocation.

What is the role of a geospatial analyst?

A geospatial analyst collects, analyzes, and interprets geographic data using GIS software and spatial tools to support decision-making in fields like urban planning, environmental management, and defense. They create maps, perform spatial analysis, and ensure data accuracy, often working with satellite imagery, GPS data, and remote sensing technologies. Strong analytical skills and knowledge of GIS platforms such as ArcGIS or QGIS are essential for this role.

Is geospatial analysis a good career?

Geospatial analysis is a viable career that involves interpreting geographic data using tools like GIS software and remote sensing. It offers opportunities in sectors such as urban planning, environmental management, and defense, often requiring technical skills and certifications. The field is expected to grow as spatial data becomes increasingly important across industries.

What is the difference between Geospatial Analyst vs GIS Technician?

AspectGeospatial AnalystGIS Technician
Required CredentialsBachelor's degree in Geography, GIS, or related field; GIS certificationsAssociate's or Bachelor's degree; GIS certifications often preferred
Work EnvironmentField and office work, analyzing spatial data, creating mapsPrimarily office-based, data entry, map creation, database management
Employer & Industry UsageGovernment agencies, environmental firms, urban planningMunicipalities, engineering firms, utilities
Common Search & ComparisonFocuses on spatial analysis and data interpretationFocuses on data management and map production

The main difference between a Geospatial Analyst and a GIS Technician lies in their roles. Geospatial Analysts perform complex spatial data analysis and interpret geographic information, often requiring advanced skills and certifications. GIS Technicians primarily handle data entry, map creation, and database management. Both roles are essential in GIS projects but differ in scope and responsibilities.

What Is a Geospatial Analyst?

A geospatial analyst works with geographic information systems (GIS) technology to examine aerial photography and satellite images. As a geospatial analyst, you may utilize GIS data to create maps, develop software, assist with urban planning, or inform environmental projects such as wildlife management and preservation. Your job duties include searching for data relevant to your project, preparing documentation and reports to explain your analysis, maintaining an accurate record of your work, and collaborating with your colleagues on projects.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including geospatial analysts, use AI to automate data processing, improve accuracy, and analyze large datasets more efficiently. While AI enhances GIS capabilities, it is a tool that complements human expertise rather than replacing the need for skilled analysts who interpret and validate spatial data. Staying current with AI tools and gaining skills in machine learning can enhance a geospatial analyst's effectiveness in the field.

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

To thrive as a Geospatial Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or a related field. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and data visualization platforms is typically required, along with relevant certifications such as GISP. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and sharing insights with diverse stakeholders. These competencies are essential for producing accurate geospatial analyses that inform decision-making in fields like urban planning, environmental science, and defense.

What is the highest salary for a GIS analyst?

The highest salary for a GIS analyst can exceed $100,000 annually, especially for those with extensive experience, advanced skills in GIS software, and certifications. Senior professionals working in specialized industries or in high-cost-of-living areas may earn higher compensation.
What are the most commonly searched types of Geospatial Analyst jobs in Virginia? The most popular types of Geospatial Analyst jobs in Virginia are:
What cities in Virginia are hiring for Geospatial Analyst jobs? Cities in Virginia with the most Geospatial Analyst job openings:
Infographic showing various Geospatial Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $76,830 per year, or $36.9 per hour.

Geospatial Analyst - Mid

GRVTY

Falls Church, VA • On-site

Other

Posted 15 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm training and evaluation. The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence challenges. This role will drive solutions that improve the quality, diversity, and representativeness of datasets powering ML model development pipelines.

What You'll be Owning

  • Leverage multi-INT data to curate imagery from emerging capabilities, with curated imagery prioritized for:
    • Creation of labeled data to support the model development pipeline
    • Meeting set criteria and characteristics (e.g., geographic coverage, scene attributes) per customer prioritization
  • Based on the characteristics and limitations of new data, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model development
  • Identify techniques and methods to conduct data mining and retrieval, applying statistical and mathematical analyses to:
    • Identify trends and solve problems
    • Optimize performance
  • Develop and apply methods by collecting, processing, and analyzing large volumes of data to build and enhance products, processes, and systems
  • Visualize information using a range of tools, scripts, and algorithms to:
    • Create explanatory and predictive models
    • Conduct comparative and alternative analysis to address complex military and intelligence challenges
  • Conduct spatial and spatial-temporal analysis and statistics of data holdings to support imagery curation, utilizing knowledge of:
    • Elevation and terrain datasets
    • Customer-directed prioritization criteria including geographic coverage and scene attributes
  • Exploit imagery and analyze geospatial data utilizing GEOINT tradecraft, critical thinking skills, and data science principles, including tools such as:
    • RemoteView
    • Cedalion
    • ArcGIS Pro
    • Jupyter Notebook
  • Utilize programming, statistics, and visualization methods to glean insights from large and disparate data sources
  • Select methods and practices to conduct multi-INT research, descriptive analyses, and exploitation of intelligence databases and sources
  • Implement technical knowledge of GA tradecraft including GIS analyses such as:
    • Viewshed / Line of Sight (LOS)
    • Mobility and Order of Battle
    • Geospatial Synthesis and Modeling
    • Simulation and Terrain Analysis
    • Spatial Statistics

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experience with imagery analytical products and conducting multi-INT analysis
  • Ability to utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through programming and scripting, including:
    • Advanced geospatial skills
    • Strong understanding of how to apply evolving technology and methodologies to related issues

What Would be Nice to Have

  • Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products