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Geospatial Analytics Jobs in Washington (NOW HIRING)

Leidos

Geospatial Analyst

Reston, VA · On-site

$65K - $118K/yr

What You'll Do As a Geospatial Analyst, you will: * Collect, process, and analyze geospatial data (vector and raster) from a variety of commercial, government, and National Technical Means (NTM ...

Leidos

Geospatial Analyst

Reston, VA · On-site

$65K - $118K/yr

What You'll Do As a Geospatial Analyst, you will: * Collect, process, and analyze geospatial data (vector and raster) from a variety of commercial, government, and National Technical Means (NTM ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

The Geospatial Analyst role involves supporting geospatial intelligence and machine learning efforts by analyzing imagery and spatial data to identify trends and provide mission-focused insights.

Maxar

Geospatial Platform Engineer

Mclean, VA · On-site

Build data ingest, enrichment, transformation, indexing, alerting, API, and analytic service ... Support geospatial visualization, 3D terrain/model visualization, imagery access, and map-based ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Conduct geospatial and multi-INT analysis. * Curate imagery for AI/ML training datasets. * Perform spatial and temporal analysis. * Develop visualizations and analytical products. * Utilize GIS tools ...

Pae

Geospatial Analyst MID

Reston, VA

Conduct geospatial analysis of objects, networks, and persons using geospatial tools, methodologies, spatial-temporal data, imagery, social and physical sciences. Exploits imagery, vector, and other ...

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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 Jun 22, 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 a geospatial job?

A geospatial job involves analyzing and interpreting geographic data using tools like GIS (Geographic Information Systems), remote sensing, and spatial analysis software. Professionals in this field work on mapping, spatial data management, and geographic problem-solving to support sectors such as urban planning, environmental management, and transportation.

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 does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support decision-making processes in fields like urban planning, environmental management, and infrastructure development.

What does geospatial mean?

Geospatial refers to data that is related to specific locations on the Earth's surface, often used in geospatial analytics roles to analyze spatial patterns and relationships. It involves working with geographic information systems (GIS), mapping tools, and spatial data analysis techniques to support decision-making and problem-solving.

What is the meaning of geospatial data?

Geospatial data refers to information that identifies the geographic location and characteristics of natural or man-made features on the Earth's surface. In geospatial analytics, this data is used with GIS tools and spatial analysis techniques to interpret patterns, relationships, and trends related to location-based information.

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 June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.

Geospatial Analyst with Security Clearance

Gateway Geospatial Group

Springfield, VA

Other

Posted 19 days ago

Job description

About the role Join G3 in facilitating the modernization of geospatial analytic tradecraft and supporting analytic workflows for the National Geospatial-Intelligence Agency's Analysis Directorate. Act as a technical liaison between office-level leaders, individual analysts, and customers to promote and implement changes. Responsibilities * Detect, analyze, and document intelligence observations.

Develop tradecraft policies, standard operating procedures (SOPs), and training materials. Lead and manage a Community of Practice to promote collaboration and innovation. * Facilitate training and collaboration sessions with a focus on improving analytic workflows.

Customize workflows to meet unique customer needs and enhance analytic processes. Coordinate with NGA infrastructure technical personnel and program offices to integrate new methodologies and tools. * Serve as a technical subject matter expert on geospatial data analysis and make recommendations to optimize data access and visibility.

Implement and manage cloud-based storage systems in classified/unclassified environments. Perform data cleaning and preprocessing tasks using Python scripting. * Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions.

Leverage data analytics software platforms to improve analytic workflows. Required qualifications College degree (B.S.) in Geography, Geospatial Sciences, or other STEM discipline. * Active TS/SCI Clearance with CI Polygraph.

6+ Years Experience in geospatial analysis or a related field. Preferred qualifications Experience in developing and implementing tradecraft policies and SOPs. * Background in instruction, facilitation, and project planning.

Understanding of cloud architecture to implement cloud-based storage systems in classified/unclassified environments. Knowledge of the Python language for data cleaning and preprocessing. * Experience with spatial data file formats and data type conversions (e.g., TIF, GeoJSON, CSV, Raster).

Understanding of geospatial analysis software and practices. Experience and/or interest in leading a Community of Practice to promote collaboration and innovation. * Experience with activity-based intelligence (ABI) and/or structured observation management (SOM).

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