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Internship Spatial Data Analyst Jobs in Springfield, VA

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · 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.

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · 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.

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$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.

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

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 ...

Create and maintain of web map applications published via ArcGIS On-Line Query, analyze and prepare statistics on spatial and non-spatial data within relational databases. Prepare and execute ...

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Vantor is currently seeking a Big Data Analyst to join our team. This role will be performed in our ...

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Vantor is currently seeking a Big Data Analyst to join our team. This role will be performed in our ...

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Showing results 1-20

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 Jul 16, 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:
Sr. Data Analyst (part-time, hybrid)

Sr. Data Analyst (part-time, hybrid)

A.C. Coy

Arlington, VA • Hybrid

$98K - $124K/yr

Contractor

Re-posted 26 days ago


Job description

  • Tier One Technologies is looking for a Data Analyst for our direct US Government client.
  • This part-time (10-20 hours a week) hybrid position will be located in Arlington, VA.
  • Must be a US Citizen.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • 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.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Ensure that quality/security guidelines are followed.

  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
  • 7+ years of experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years of experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year of experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • Strong knowledge of ETL strategies, pattern recognition, and application of analytical tools.
  • Advanced degrees in Statistics, Mathematics, or a related field preferred.
  • Excellent communication skills.
  • Must be a US Citizen.
  • Ability to obtain Public Trust clearance. 
  • Ability to pass drug screening, criminal history, and credit checks.
  • Must have resided in the US for the last 5 years.
  • Must not have traveled outside the US for a combined total of 6 months or more in the last 5 years. Military Service excluded. (Exception does not include military family members.)

A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

Sourced by ZipRecruiter

Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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