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Spatial Data Analyst Jobs in Washington (NOW HIRING)

Castellum Inc

Senior Data Analyst

Washington, DC · On-site

$90K - $125K/yr

The Senior Data Analyst will partner closely with legal, operational, and IT teams to run ... Direct the use of ESRI ArcGIS for advanced mapping, spatial analysis, and geolocation services that ...

Castellum Inc

Senior Data Analyst

Washington, DC · On-site

$90K - $125K/yr

Senior Data Analyst Full Time Washington, DC, US Salary Range: $90,000.00 To $125,000.00 Annually ... Direct the use of ESRI ArcGIS for advanced mapping, spatial analysis, and geolocation services that ...

Ampcus Inc

Systems Analyst (Cityworks)

Woodbridge, VA · On-site

... spatial data integration and asset mapping. • Manage vendor relationships and coordinate with Cityworks support for issue resolution and enhancements. • Lead or support Cityworks-related projects ...

GeoSearch

Geospatial Analyst III

Fairfax, VA

$77K - $99K/yr

In this role, you'll work hands-on with spatial data, analysis, and technology to solve complex challenges for federal, state, and local clients. You'll have the opportunity to independently tackle ...

CEI

CityWorks Analyst

Woodbridge, VA

System Analyst (Cityworks) Location: Woodbridge, VA Contract: W2 only, Overview We is seeking an ... Collaborate with GIS staff to ensure accurate spatial data integration and asset mapping. * Manage ...

Electrosoft

Data Architect

Arlington, VA · On-site

$73.25 - $94.25/hr

Design and maintain enterprise data architectures that support geospatial operations, spatial analytics, and mission-critical decision-making. * Develop data strategies, roadmaps, standards, and ...

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Spatial Data Analyst information

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$38.5K

$93.6K

$154K

How much do spatial data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for spatial data analyst in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What does a spatial data analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

What are some typical projects or tasks a spatial data analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What are the key skills and qualifications needed to thrive in the spatial data analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

How do you become a spatial data analyst?

To become a spatial data analyst, individuals typically need a bachelor's degree in geography, GIS, computer science, or related fields. Developing skills in GIS software like ArcGIS or QGIS, programming languages such as Python or R, and understanding spatial databases are essential. Gaining experience through internships or certifications can also improve job prospects.

Is a spatial data analyst in demand?

Yes, spatial data analysts are in demand due to the increasing use of geographic information systems (GIS) across industries such as urban planning, transportation, and environmental management. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.

What are popular job titles related to Spatial Data Analyst jobs in Washington?

For Spatial Data Analyst jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Spatial Data Analyst jobs in Washington look for?

The top searched job categories for Spatial Data Analyst jobs in Washington are:

What cities in Washington are hiring for Spatial Data Analyst jobs?

Cities in Washington with the most Spatial Data Analyst job openings:

Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in Washington as of September 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Geospatial Data Manager with Security Clearance

Springfield, VA • On-site

GRVTY
See more jobs at GRVTYexternal

$120K - $140K/yr

Contractor

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

What You'll Be Owning: In this role, you will support mission-critical intelligence operations by managing, structuring, and optimizing geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic environments. You will apply your expertise in GIS, data schemas, and georeferencing to organize and maintain spatial data, ensuring alignment with established metadata and extraction standards. Leveraging relational database management systems, you will design, normalize, and optimize data architectures to enhance performance and scalability, while supporting enterprise geodatabases such as Spatial Database Engines (SDEs). What Impact You'll Have: You will utilize tools including the ArcGIS Suite, ArcGIS Online, Portal, SQL, Oracle, Excel, and Access to store, manage, and maintain high-quality datasets that enable downstream analysis. Additionally, you will collaborate closely with analysts, engineers, and cross-functional mission partners to improve data workflows, enforce data governance best practices, and ensure that data is structured to effectively support GEOINT and multi-INT mission requirements. This role requires a proactive mindset, attention to detail, and a strong commitment to team success in a fast-paced, mission-driven environment. What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly. * 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience) * Demonstrated understanding of GIS, data schemas, and the geo-referencing of information * Knowledge of extraction and metadata specifications * Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques * Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs) * Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data * Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships * Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams What Would Be Nice to Have: * Knowledge of scripting languages, such as R or Python * Demonstrated understanding of cartographic principles * Knowledge of Tableau or other data visualization tools * Experience supporting data governance, data stewardship, or data quality initiatives in enterprise environments * Certifications: * GEOINT Professional Certification - Fundamentals (F) * GEOINT Professional Certification - Geospatial Data Management (GDM) * Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. * The pay range for this position is: $120,000 - $140,000

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