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Spatial Data Analyst Jobs in Indiana (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/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 ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/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 ...

Varsity Tutors

AP Human Geography Tutor

Bloomington, IN · Remote

$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 ...

Varsity Tutors

AP Human Geography Tutor

Valparaiso, IN · Remote

$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 ...

Varsity Tutors

AP Human Geography Tutor

Fort Wayne, IN · Remote

$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 ...

W3Global Inc.

Licensed Land Surveyor

Fort Wayne, IN · 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 ...

Chatham County

Crime Analyst

Pittsboro, IN · On-site

Utilize crime mapping techniques and geographic information system (GIS) applications to conduct spatial analysis of data. * Conduct data cleaning and data management techniques to prepare data for ...

SME

Reality Capture Technician

Fort Wayne, IN · On-site

This position is a hands-on technical role responsible for collecting, processing, and delivering high-quality spatial data using laser scanning, photogrammetry, and related technologies. The Reality ...

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All JobsSpatial Data Analyst JobsSpatial Data Analyst Jobs in Indiana

Spatial Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do spatial data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for spatial data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

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 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 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.

How do you become a spatial data analyst?

To become a spatial data analyst, individuals typically need a bachelor's degree in geography, GIS, computer science, or related fields. Developing skills in GIS software like ArcGIS or QGIS, programming languages such as Python or R, and understanding spatial databases are essential. Gaining experience through internships or certifications can also improve job prospects.

Is a spatial data analyst in demand?

Yes, spatial data analysts are in demand due to the increasing use of geographic information systems (GIS) across industries such as urban planning, transportation, and environmental management. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.

What are the most commonly searched types of Spatial Data Analyst jobs in Indiana?

The most popular types of Spatial Data Analyst jobs in Indiana are:

What are popular job titles related to Spatial Data Analyst jobs in Indiana?

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

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

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

Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Sr. Data Scientist

Indianapolis, IN • On-site

Eightelevengroup
See more jobs at Eightelevengroupexternal

$80 - $88/hr

Other

Re-posted 10 days ago

Key responsibilities

  • Design and execute geospatial analyses to support product and business decision-making

  • Build, validate, and maintain spatial data models and pipelines

  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders

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 pipeline—from data ingestion and processing to analysis, modeling, and visualization—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
  • 3–6 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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