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Geospatial Analytics Jobs in Washington (NOW HIRING)

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

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 ...

GRVTY

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 ...

GRVTY

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 ...

Tulk LLC

Geospatial Analysis SME Senior

Fort Belvoir, VA · On-site

$120K - $153K/yr

Geospatial Analysis SME Senior 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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All JobsGeospatial Analytics JobsGeospatial Analytics Jobs in Washington

Geospatial Analytics information

See Washington salary details

$24.9K

$87.8K

$138.2K

How much do geospatial analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for geospatial analytics in Washington is $87,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $90,600.00 per year, depending on experience, location, and employer.

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

To thrive in Geospatial Analytics, you need strong spatial analysis skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and programming languages like Python or R is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and presenting findings to diverse stakeholders. These skills and qualifications are important for delivering actionable insights that inform decision-making across industries such as urban planning, environmental management, and logistics.

What is the difference between Geospatial Analytics vs GIS Analyst?

AspectGeospatial AnalyticsGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; proficiency in spatial analysis toolsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData analysis, modeling, and visualization in offices or remote settingsMap creation, data management, and spatial data editing in GIS software environments
Industry UsageUsed across industries like urban planning, environmental science, and transportation for data-driven decisionsPrimarily in government agencies, consulting firms, and environmental organizations for mapping and data management

While both roles involve spatial data, Geospatial Analytics focuses on analyzing and interpreting geographic data to derive insights, whereas a GIS Analyst primarily manages and creates geographic information systems and maps. Both roles often overlap but serve different core functions within the geospatial industry.

What are some common challenges faced by professionals in geospatial analytics, and how can they be addressed?

Professionals in geospatial analytics often encounter challenges such as managing large, complex datasets, ensuring data accuracy, and integrating information from diverse sources. To address these, it's important to develop strong skills in data cleaning, validation, and familiarity with various GIS and remote sensing tools. Collaboration with IT specialists and subject matter experts can also help streamline workflows and improve data integration. Staying updated on the latest industry software and best practices is key to overcoming technical hurdles and delivering actionable insights.

What is geospatial analytics?

Geospatial analytics is the process of gathering, analyzing, and interpreting data that is associated with specific locations on the Earth. It combines geographic information systems (GIS), satellite imagery, GPS data, and other spatial data sources to uncover patterns, relationships, and trends. Geospatial analytics is widely used in fields like urban planning, environmental science, disaster response, and business intelligence to make data-driven decisions based on location-specific insights.
What are popular job titles related to Geospatial Analytics jobs in Washington? For Geospatial Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Geospatial Analytics jobs in Washington look for? The top searched job categories for Geospatial Analytics jobs in Washington are:
Geospatial Analytics jobs near you
Infographic showing various Geospatial Analytics job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.
Geospatial Analyst - Middle Job#823

Geospatial Analyst - Middle Job#823

Allen Integrated Solutions

Washington, DC • On-site

Full-time

Posted 19 days ago

Job description

Geospatial Analyst - Middle

Location: Springfield, VA

TS/SCI REQUIRED

Current CI polygraph is required immediately after starting (or already within scope)

Position Responsibilities:

  • Experience with imagery analytical products and conducting multi-INT analysis
  • Utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through use of programming and scripting, including advanced geospatial skills and an excellent understanding of how to apply evolving technology and methodologies
  • Desired: Experience working with or developing ML algorithms for exploiting overhead imagery and/or motion imagery products