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Spatial Analysis Jobs in Washington (NOW HIRING)

Amatriot Group, LLC

Metrologist

Bethesda, MD

$100K - $130K/yr

Calibrate equipment then measure item geometry and spatial relationships. This includes small and large-scale items requiring dimension and tolerance analysis to determine accuracy. Shall restrain ...

Chenega MIOS SBU

Mid Geospatial Engineer

Vienna, VA · On-site

... Perform spatial analysis and GIS processing using ArcGIS and related Esri products • Develop and maintain automated workflows and scripts using Python and SQL • Produce maps, web maps, and ...

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Spatial Analysis information

Will GIS be replaced by AI?

GIS (Geographic Information Systems) professionals use AI to enhance spatial analysis, automate data processing, and improve decision-making. While AI tools are increasingly integrated into GIS workflows, they complement rather than replace the core skills of spatial analysts, who interpret and validate data. Proficiency in GIS software and understanding AI applications are valuable for job success in this field.

What does a spatial analyst do?

A spatial analyst collects, interprets, and analyzes geographic data to solve location-based problems. They use GIS (Geographic Information Systems) tools and spatial modeling techniques to support decision-making in fields like urban planning, environmental management, and transportation. Strong analytical skills and knowledge of spatial data are essential for this role.

What types of projects and responsibilities can I expect in a Spatial Analysis role?

As a Spatial Analysis professional, you'll typically work on projects involving the collection, processing, and interpretation of location-based data to support initiatives like urban planning, environmental assessment, or infrastructure development. Your daily responsibilities may include creating detailed maps, analyzing spatial trends, and presenting actionable insights to other departments or clients. Collaboration with planners, engineers, and decision-makers is common, requiring the ability to adapt your findings for both technical and non-technical audiences. This role offers variety and the opportunity to see your work directly inform real-world projects, providing a strong foundation for career growth in areas such as GIS management, data science, or project leadership.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, often requires proficiency in tools like ArcGIS or QGIS, and can provide stable employment with increasing demand for spatial data expertise.

How much does a GIS analyst earn?

The average salary for a GIS analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills in GIS software and spatial analysis tools can earn higher salaries.

What is a Spatial Analysis job?

A Spatial Analysis job involves using geographic information systems (GIS), remote sensing, and statistical techniques to analyze spatial data and identify patterns, relationships, and trends. Professionals in this field work in industries such as urban planning, environmental science, transportation, and public health to support decision-making and problem-solving. They often use mapping software, data visualization, and programming languages like Python or R to process and interpret spatial data efficiently.

What are the key skills and qualifications needed to thrive in the Spatial Analysis position, and why are they important?

To succeed in Spatial Analysis, you need a strong background in geography, cartography, data analysis, and statistics, often supported by a relevant degree or certification such as GIS (Geographic Information Systems). Familiarity with technical tools like Esri ArcGIS, QGIS, spatial databases, and programming languages such as Python or R is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights with diverse stakeholders. These abilities are crucial for accurately analyzing spatial data to inform decision-making across urban planning, environmental management, and commercial projects.

What are popular job titles related to Spatial Analysis jobs in Washington? For Spatial Analysis jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Spatial Analysis jobs in Washington look for? The top searched job categories for Spatial Analysis jobs in Washington are:
What cities in Washington are hiring for Spatial Analysis jobs? Cities in Washington with the most Spatial Analysis job openings:
Spatial Analysis jobs near you
Infographic showing various Spatial Analysis job openings in Washington as of July 2026, with employment types broken down into 75% Full Time, 18% Part Time, and 7% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.
WBG Pioneer - Geospatial Data Analysis Intern

WBG Pioneer - Geospatial Data Analysis Intern

The World Bank Group

Washington, DC

Other

Posted 13 days ago

Job description

The Trade Policy and Facilitation Unit is developing a quantitative spatial model to assess the spatial economic impacts of logistics infrastructure, logistics and trade facilitation policies, and trade policies at the national and regional levels. Building on a cities spatial model developed jointly by the International Growth Centre (IGC) and the World Bank, the unit intends to extend this framework beyond the city level and to develop it in partnership with the Development Economics (DEC) group, the Transport global practice, and external partners. The model is intended to complement the unit's existing computable general equilibrium (CGE) analysis. 

This work also builds on a long tradition of World Bank analysis of the sub-national geography of trade, including work on lagging regions and their connection to global markets, and seeks to capture the substantial methodological and data advances that have emerged since. Robust spatial analysis of this kind depends critically on the assembly, cleaning, and structuring of high-quality geospatial data used to parameterize and run the model. 

The intern will support this effort within the Trade Policy and Facilitation Unit, contributing to the compilation and preparation of geospatial datasets and to the operation of the quantitative spatial model, under the supervision of the project team. 

Duties and Responsibilities 

Under the guidance of the project lead, the intern will: 

Compile, clean, and structure the geospatial data required to parameterize and run the quantitative spatial ("cities") model, extending it from the city level to the national and regional levels. 

Assemble and process key spatial inputs - including road and transport networks, population grids, terrain data, port and trade-node locations (e.g., PortWatch), and travel-time layers - into model-ready formats. 

Run the spatial model with the prepared data to assess the spatial economic impacts of logistics infrastructure, trade facilitation measures, and trade policies, in coordination with DEC, Transport, and external partners. 

Construct population-weighted accessibility and remoteness indicators to key trade nodes and correlate them with granular socio-economic data. 

Produce maps, interactive dashboards, and other visual outputs to support diagnostics, model validation, and dissemination. 

Contribute to note writing, presentations, and other analytical and dissemination products, and document data sources, methods, and code for reproducibility. 

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