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Geospatial Analysis Intern Jobs in Springfield, VA

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Geospatial Analysis Intern information

See Springfield, VA salary details

$9

$17

$25

How much do geospatial analysis intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for geospatial analysis intern in Springfield, VA is $17.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.10 per hour, depending on experience, location, and employer.

Is a geospatial analysis intern an entry level job?

A geospatial analysis intern is typically an entry-level position suitable for students or recent graduates with basic skills in GIS software, data analysis, and spatial concepts. It often requires minimal professional experience and provides on-the-job training to develop technical skills in geospatial tools like ArcGIS or QGIS.

What does a geospatial analysis intern do?

A Geospatial Analysis Intern assists with collecting, processing, and analyzing geographic data using tools like GIS (Geographic Information Systems) and remote sensing software. They help create maps, interpret satellite imagery, and support projects that require spatial analysis, such as urban planning, environmental assessment, or transportation studies. Interns often work under the supervision of experienced geospatial analysts and gain hands-on experience with industry-standard software and data sources.

What are the key skills and qualifications needed to thrive as a geospatial analysis intern, and why are they important?

To thrive as a Geospatial Analysis Intern, you generally need foundational knowledge in geography, spatial analysis, and a relevant field of study such as GIS, environmental science, or urban planning. Familiarity with GIS software (like ArcGIS or QGIS), spatial databases, and basic coding skills in Python or R are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and present spatial data clearly. These abilities are critical for producing accurate analyses that inform decision-making and project outcomes in geospatial contexts.

How to get a geospatial analysis internship?

To secure a geospatial analysis internship, candidates should have a background in geography, GIS, or related fields, and proficiency in tools like ArcGIS or QGIS. Gaining experience through coursework, personal projects, or certifications such as GIS Professional (GISP) can improve prospects, along with strong analytical skills and attention to detail. Applying through company career portals, university career services, or networking with professionals in the field can also increase chances of obtaining an internship.

What types of projects does a geospatial analysis intern typically work on, and how do they contribute to larger team goals?

As a Geospatial Analysis Intern, you'll often assist with projects involving data collection, mapping, and spatial analysis to support ongoing research or operational initiatives. Interns may help process satellite imagery, manage GIS databases, or create visual maps for presentations. Your work directly supports the team by providing accurate geographic data and insights that inform decision-making in fields like urban planning, environmental management, or logistics. Collaboration with GIS analysts, data scientists, and project managers is common, offering valuable exposure to real-world workflows and methodologies.
What cities near Springfield, VA are hiring for Geospatial Analysis Intern jobs? Cities near Springfield, VA with the most Geospatial Analysis Intern job openings:
Geospatial Analysis Intern jobs near you
Infographic showing various Geospatial Analysis Intern job openings in Springfield, VA as of July 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $37,013 per year, or $17.8 per hour.

WBG Pioneer - Geospatial Data Analysis Intern

The World Bank Group

Washington, DC • On-site

Internship

Posted 28 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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