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Internship Spatial Data Analyst Jobs in Virginia

GRVTY

Geospatial Data Manager

Springfield, VA

$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 ...

GRVTY

Geospatial Data Manager

Springfield, VA · 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 ...

ManTech

Junior Data Analyst

Ashburn, VA · Hybrid

$83K - $139K/yr

Coursework related and/or prior internship related to data analytics. * Strong knowledge of SQL and a strong interest in data management. Familiarity with Excel (including pivot tables and VLOOKUPs ...

ManTech

Junior Data Analyst

Ashburn, VA · Hybrid

$83K - $139K/yr

Coursework related and/or prior internship related to data analytics. * Strong knowledge of SQL and a strong interest in data management. Familiarity with Excel (including pivot tables and VLOOKUPs ...

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Internship Spatial Data Analyst information

What does an internship spatial data analyst do?

An Internship Spatial Data Analyst assists in collecting, analyzing, and visualizing geospatial data using tools such as GIS (Geographic Information Systems). Their responsibilities may include mapping locations, interpreting spatial patterns, and supporting senior analysts in projects related to urban planning, environmental monitoring, or logistics. Interns often work with large datasets, learn to use specialized software, and contribute to reports and presentations. This role helps interns develop technical skills and gain practical experience in spatial data analysis.

What types of projects can an internship spatial data analyst expect to work on, and how do these contribute to the organization's goals?

As an Internship Spatial Data Analyst, you can expect to work on projects involving data collection, cleaning, and visualization of geographic information using GIS tools and software. Typical tasks may include analyzing spatial patterns, creating maps for internal or client use, and assisting with data-driven decision-making processes. These projects are vital for supporting urban planning, environmental monitoring, or business logistics, depending on the organization's focus. Your work will often be collaborative, requiring regular communication with senior analysts, project managers, and sometimes field teams to ensure data accuracy and project alignment.

What are the key skills and qualifications needed to thrive as an internship spatial data analyst, and why are they important?

To thrive as an Internship Spatial Data Analyst, you need foundational knowledge in geographic information systems (GIS), spatial data analysis, and a relevant academic background such as geography, environmental science, or computer science. Familiarity with technical tools like ArcGIS, QGIS, and basic programming languages (e.g., Python or R) is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and present findings clearly. These skills are vital for accurately analyzing spatial data and supporting data-driven decision-making in various projects.

What is the difference between Internship Spatial Data Analyst vs Junior Spatial Data Analyst?

AspectInternship Spatial Data AnalystJunior Spatial Data Analyst
Required CredentialsEnrolled in or recent graduate of related degreeBachelor's degree in GIS, Geography, or related field
Work EnvironmentInternship, supervised, learning-focusedEntry-level professional, more independent tasks
Employer & Industry UsageInternship programs in GIS, urban planning, environmental firmsEntry-level roles in similar industries
Search & Comparison IntentUnderstanding internship opportunitiesClarifying entry-level job roles

The main difference is that an Internship Spatial Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Junior Spatial Data Analyst is an entry-level professional role with more responsibilities and independence. Internships are ideal for gaining experience, whereas junior roles involve applying skills in real projects.

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 Internship Spatial Data Analyst jobs in Virginia?

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

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

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

What cities in Virginia are hiring for Internship Spatial Data Analyst jobs?

Cities in Virginia with the most Internship Spatial Data Analyst job openings:

Internship Spatial Data Analyst jobs near you
Infographic showing various Internship Spatial Data Analyst job openings in Virginia as of June 2026, with employment types broken down into 57% Internship, and 43% Full Time. Highlights an 66% In-person, and 34% Remote job distribution.

Mid-Level Data Scientist with TS/SCI Clearance

CALNET Inc.

Springfield, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 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

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