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Internship Spatial Data Analyst Jobs in Springfield, VA

Dev Technology

Senior Data Analyst

Tysons Corner, VA

$86K - $109K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

Dev Technology

Senior Data Analyst

Vienna, VA

$86K - $108K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

GRVTY

Data Steward -- Senior

Springfield, VA

$70.25 - $94/hr

... 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 ...

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

CSS is seeking to hire a GIS Analyst to join the NOAA Seascape Ecology and Analytics (SEA) Branch ... Integrate spatial data from various sources, including with non-spatial datasets to provide ...

CSS, Inc

GIS Analyst

Chevy Chase, MD · On-site

CSS is seeking to hire a GIS Analyst to join the NOAA Seascape Ecology and Analytics (SEA) Branch ... Integrate spatial data from various sources, including with non-spatial datasets to provide ...

CSS, Inc

GIS Analyst

Silver Spring, MD

CSS is seeking to hire a GIS Analyst to join the NOAA Seascape Ecology and Analytics (SEA) Branch ... Integrate spatial data from various sources, including with non-spatial datasets to provide ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

The Geospatial Analyst role involves supporting geospatial intelligence and machine learning efforts by analyzing imagery and spatial data to identify trends and provide mission-focused insights.

Vantor

Big Data Analyst (TS/SCI)

Herndon, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. They are seeking a Big Data Analyst to ...

Vantor

Big Data Analyst (TS/SCI)

Springfield, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. They are seeking a Big Data Analyst to ...

ManTech

Data Analyst

Ashburn, VA

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

ManTech International

Data Analyst

Ashburn, VA · On-site

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

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Internship Spatial Data Analyst information

See Springfield, VA salary details

$12

$23

$43

How much do internship spatial data analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for internship spatial data analyst in Springfield, VA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.62 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Internship Spatial Data Analyst jobs in Springfield, VA look for? The top searched job categories for Internship Spatial Data Analyst jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Internship Spatial Data Analyst jobs? Cities near Springfield, VA 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 Springfield, VA as of June 2026, with employment types broken down into 54% Internship, and 46% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $48,893 per year, or $23.5 per hour.

Senior Data Analyst

Dev Technology

Tysons Corner, VA

$86K - $109K/yr

Other

Posted 3 days ago

Job description

Data Analyst #1043

In person position in Tysons Corner, VA 3 days per week

Clearance: U.S. Citizenship is required.  Must be able to obtain Public Trust clearance

We are seeking a Data Analyst with a strong background/experience with data analysis, business requirement testing, and defect management to join our team. The ideal candidate will have experience in Tableau (Server/Desktop/Prep) for creating data visualizations and reports and will play a crucial role in ensuring that our data-related requirements are met and thoroughly tested. 

Responsibilities:

  • Analyze data to identify trends and actionable insights, using statistical methods and data models to support business decisions.
  • Create clear visualizations and develop reports using Tableau, Power BI, or Excel to communicate insights to stakeholders.
  • Conduct spatial data analysis using GIS software (ArcGIS)
  • Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis.
  • Design and implement efficient data analysis workflows to optimize processing and analysis tasks.
  • Test dashboards, reports, and data sources to ensure business requirements are met, and collaborate with product owners to ensure accurate delivery.
  • Create and manage Tableau visualizations, dashboards, and data sources to provide accurate reporting and insights.
  • Collaborate with cross-functional teams to translate data insights into strategic business solutions.
  • Provide technical support and training on GIS tools, visualization platforms, and data analysis methodologies.

Required:

Minimum of eight (8) years of relevant experience 

  • Experience as a Data Analyst or in a similar analytical role, with proven experience in data analysis, cleaning, and reporting.
  • Proficiency in SQL for database querying and data extraction.
    • Ability to access and extract data; clean, transform and prepare data; perform data analysis; and perform statistical measures such as data calculations.
    • Ability to analyze relationships between datasets and identify patterns
  • Experience with Tableau Server/Desktop/Prep to create data sources and visualization dashboards.
  • Experience with Agile ceremonies (e.g., sprint planning, backlog grooming, stand-ups, sprint reviews, retrospectives).
  • Strong attention to detail, with the ability to identify data discrepancies and issues in reports and dashboards.
  • Experience in defect management, user story creation, and testing, including functional qualification, regression, and user acceptance testing support.
  • Ability to evaluate and validate business requirements, providing actionable feedback.
  • Ability to analyze and interpret complex data sets, providing data-driven solutions for business challenges.
  • Excellent collaboration skills with cross-functional teams and stakeholders
  • Strong verbal and written communication skills, with the ability to present data insights to both technical and non-technical audiences.

 

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