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Spatial Data Analyst Jobs (NOW HIRING)

WaterSuite

Spatial Data Manager

Braintree, MA · On-site

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 ...

WaterSuite

Spatial Data Manager

Braintree, MA · On-site

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 ...

Esri

Spatial Data Engineer I

Redlands, CA · On-site

$115K - $138K/yr

Analyze, enhance, prepare and load spatial data into normalized databases on regular intervals * Write and maintain Python and SQL scripts for data processing and loading * Evaluate new data sources ...

Vibrant Planet

Spatial Wildfire Analyst

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 ...

OMS Group

GIS and Data Specialist

Pleasant Hill, CA · On-site

$28 - $35/hr

We are seeking a skilled and detail-oriented Spatial & Data Analyst to support project execution through spatial analysis, data management, and performance reporting. This role focuses on enabling ...

Iapetus Holdings

Data Analyst

Dallas, TX · On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Iapetus Infrastructure Services

Data Analyst

Dallas, TX · On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Familiarity with marine spatial data * 5+ years of documented GIS experience using ESRI and open ... Analyst will have the following: * Marine science background * Experience with ESRI Portal ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Familiarity with marine spatial data * 5+ years of documented GIS experience using ESRI and open ... Analyst will have the following: * Marine science background * Experience with ESRI Portal ...

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How much do spatial data analyst jobs pay per year?

As of Aug 5, 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 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 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.

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 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.

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:
Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Spatial Data Manager

WaterSuite

Braintree, MA • On-site

Full-time

Re-posted 6 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

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