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Spatial Data Analyst Jobs in Virginia (NOW HIRING)

Data Steward -- Senior

Springfield, VA ยท On-site

$120K - $140K/yr

... 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 ...

Data Steward -- Senior

Springfield, VA ยท On-site

$120K - $140K/yr

... 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 ...

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 ...

Senior Data Analyst (Part-Time)

Arlington, VA ยท On-site

$73.76 - $76.17/hr

These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or ...

Skills in research, analytical thinking, workflow documentation, and process design. * Strong ... Experience with GIS technologies such as Esri tools, enterprise geodatabases, and spatial data ...

Experience with GIS technologies such as Esri tools, enterprise geodatabases, and spatial data ... Skills in research, analytical thinking, workflow documentation, and process design. Required 8 ...

Sr. Data Analyst (part-time, hybrid)

Arlington, VA ยท Hybrid

$98K - $124K/yr

Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

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Spatial Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do spatial data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for spatial data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Spatial Data Analyst jobs in Virginia? The most popular types of Spatial Data Analyst jobs in Virginia are:
What are popular job titles related to Spatial Data Analyst jobs in Virginia? For Spatial Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Spatial Data Analyst jobs in Virginia look for? The top searched job categories for Spatial Data Analyst jobs in Virginia are:
Infographic showing various Spatial Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Mid-Level Data Scientist with TS/SCI Clearance

Mid-Level Data Scientist with TS/SCI Clearance

CALNET Inc.

Springfield, VA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

Description
Founded in 1989, CALNET, Inc. has become one of the fastest growing privately held companies in the Technology, Intelligence Analysis, and Language Services consulting arena. Headquartered in Reston, VA, CALNET employees deliver true value to our customers by employing best practices, world-class technologies industry expertise in every project. CALNET is ISO 9001, ISO 20000, ISO 27001, CMMI-Level III for Services, and CMMC Level 2 certified.
We are currently searching for a talented, professional Mid-Level Data Scientistwith TS/SCI clearance to join our team to support NGA.
About the Job
The Senior Analytical Methodologist possesses skills that focus on GEOINT data enrichment and management. Applies expertise to exploit GEOINT data or information in order to develop advanced analytic processes, apply scientific approaches to test geospatial data for accuracy and precision, create automated services that support GEOINT creation and delivery, and/or structure and manage data for further use.
Requirements
  • 7 + years of demonstrated experience using quantitative and qualitative techniques to solve complex problems using analytic tools and techniques to solve complex problems such as GIS, quantitative methods and data visualization, modeling, systems analysis, comparative analysis and database development.
  • Bachelor's degree or master's degree in computer science or information technology discipline.
  • Demonstrated knowledge and experience in data mining, cleansing and exploring spatial, temporal and non-spatial data in both structured and unstructured formats.
  • Demonstrated knowledge of programming languages (e.g. Python, Java, JavaScript, SQL), modeling software, spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.
  • Current, active TS/SCI with the ability to obtain a CI Poly.

This opportunity is located in Springfield, VA. To apply, go to https://jobs.jobvite.com/calnet.
CALNET, Inc. offers a competitive base salary and a generous benefits package. This package includes medical, dental, vision, life, short- and long-term disability insurances, a 401(k)-retirement savings plan, and generous leave time.
CALNET, Inc. is an Equal Opportunity Employer; all qualified applicants are encouraged to apply. www.calnet.com
EEO/M/F/D/V