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Internship Spatial Data Analyst Jobs in Indiana (NOW HIRING)

Sr. Data Scientist

Indianapolis, IN ยท On-site

$110.21 - $121.23/hr

Design and execute geospatial analyses to support product and business decision-making * Build, validate, and maintain spatial data models and pipelines * Query and manage geospatial datasets using ...

GIS Specialist/Analyst

Fort Wayne, IN ยท On-site

$62K - $74K/yr

Experience with spatial data management and web mapping applications * Strong analytical, communication, organizational, and problem-solving skills * Valid Indiana driver's license if operating a ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

AP Human Geography Tutor

Valparaiso, IN ยท Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

AP Human Geography Tutor

Fort Wayne, IN ยท Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

AP Human Geography Tutor

Bloomington, IN ยท Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Licensed Land Surveyor

Fort Wayne, IN ยท On-site

$90K - $120K/yr

Conduct data collection using GIS (Geographic Information Systems), ArcGIS, and Schematics for mapping and spatial analysis. * Oversee the use of CAD drafting tools to develop schematics, site plans ...

Analyze and resolve complex spatial data and software issues to support the stability and performance of the mapping platform. * Participate in code reviews to ensure adherence to company standards ...

Analyze and resolve complex spatial data and software issues to support the stability and performance of the mapping platform. * Participate in code reviews to ensure adherence to company standards ...

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

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

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

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

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

Infographic showing various Internship Spatial Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN โ€ข On-site

$110.21 - $121.23/hr

Other

Posted 20 days ago


Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipelineโ€”from data ingestion and processing to analysis, modeling, and visualizationโ€”and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • Design and execute geospatial analyses to support product and business decision-making
  • Build, validate, and maintain spatial data models and pipelines
  • Query and manage geospatial datasets using PostgreSQL with PostGIS
  • Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
  • Develop machine learning models with spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3โ€“6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
  • Deep experience with PostgreSQL and PostGIS for spatial querying and data management
  • Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
  • Experience with GIS tools such as QGIS, ArcGIS, or equivalent
  • Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
  • Experience applying machine learning techniques to spatial problems
  • Ability to communicate findings clearly in a fully remote, async environment
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
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