1

Spatial Data Analyst Jobs (NOW HIRING)

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

Analyze spatial and occupancy data to identify trends, opportunities, risks, and efficiencies across the portfolio. * Support strategic planning efforts through scenario modeling, forecasting ...

Analyze spatial and occupancy data to identify trends, opportunities, risks, and efficiencies across the portfolio. * Support strategic planning efforts through scenario modeling, forecasting ...

Analyze spatial and occupancy data to identify trends, opportunities, risks, and efficiencies across the portfolio. * Support strategic planning efforts through scenario modeling, forecasting ...

Analyze spatial and occupancy data to identify trends, opportunities, risks, and efficiencies across the portfolio. * Support strategic planning efforts through scenario modeling, forecasting ...

Analyze spatial and occupancy data to identify trends, opportunities, risks, and efficiencies across the portfolio. * Support strategic planning efforts through scenario modeling, forecasting ...

Sr. Data Scientist

Indianapolis, IN · 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 ...

Data Analyst, Principal

Atlanta, GA · On-site +1

$69K - $93K/yr

... spatial economic modeling projects. • Collaborate with planning, transportation, natural ... to data and analysis requests from internal teams, local governments, partner agencies, and the ...

Spatial Wildfire Analyst

Missoula, MT · On-site

$100 - $130/hr

The cultivation of data and application of science into strategic frameworks that enable tradeoff ... Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial ...

The cultivation of data and application of science into strategic frameworks that enable tradeoff ... Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial ...

next page

Showing results 1-20

Spatial Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do spatial data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for spatial data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Spatial Data Analyst jobs

What cities are hiring for Spatial Data Analyst jobs?

Cities with the most Spatial Data Analyst job openings:

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

The most popular types of Spatial Data Analyst jobs are:

What states have the most Spatial Data Analyst jobs?

States with the most job openings for Spatial Data Analyst jobs include:

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

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

Infographic showing various Spatial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Spatial Data Manager

Braintree, MA

WaterSuite
Software Development • 11 - 50 employees

Full-time

Re-posted 25 days ago


Job description

Company Description

WaterSuite is a cloud based geospatial platform housing a large and growing inventory of spatial data layers of all types and sizes from numerous sources. WaterSuite is a unique and valuable resource for the drinking water community, supporting source water protection and online monitoring efforts, and is in use by many clients, including drinking water utilities, municipalities and states.

Job Description

Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with other team members to evolve the data model and processes to address emerging needs.

Responsibilities:

  • Owns the spatial data model (conceptual level down to attribute level) and ensures compliance
  • Owns the spatial data processes and ensures timely and orderly execution
  • Spatial data processes include periodic layer updates with change tracking for hundreds of layers
  • Keeps documentation on spatial data model and processes current
  • Curates newly requested spatial data layers
  • Works with team members to extend or modify the spatial data model
  • Works with team members to build new processes or improve existing ones
  • Advises application development team on spatial functionality
  • Responds to ad-hoc spatial data or analysis requests
  • Trains other team members on spatial data model and processes as needed
  • Participates in agile teams, collects/reviews user stories, extracts requirements, creates/curates tickets
  • Prepare/participate/present in company events, workshops, conferences or other venues
Qualifications

Required Skills/Experience:

  • Keen attention to detail
  • Experience working with spatial data at scale
  • Experience working with large databases
  • Experience with PostgreSQL, PostGIS, SQL
  • Understanding of GIS and spatial concepts, tools, processes
  • Understanding of basic relational database concepts
  • Able to handle multiple tasks in a fast-paced environment
  • Excellent verbal, written, and interpersonal communication skills
  • Collaborative problem solver
  • Critical thinking to evaluate alternative solutions

Preferred Skills:

  • Familiarity with drinking water concepts, hydrology, watershed science or similar
  • Degree in computer science, geography, environmental science or relevant field
  • GISP, PMP or other relevant certification
  • Programming skills in python, R, JavaScript or similar
Additional Information

Location: Remote initially then Braintree, MA (at exit 6 off Route 93)

All your information will be kept confidential according to EEO guidelines.

Keywords: PostgreSQL, Postgres, PostGIS, PG Admin, SQL, QGIS, ESRI ArcGIS, geospatial analysis and visualization, geography, cartography, hydrology, map making, emergency response, hazard/risk analysis, watershed, JIRA, Atlassian Confluence, Slack, OpenLayers, python, jupyter notebooks, Azure Data Studio, R, JavaScript, TypeScript, ETL, ogr2ogr, GDAL, Cassandra, Docker, Vue.js, REST API, Tableau, Google Sheets, Excel, Amazon AWS