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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 ...

Senior Data Analyst

Tysons Corner, VA

$86K - $109K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

GIS Analyst

Terre Haute, IN · On-site

$25 - $29/hr

The GIS Data Analyst will work at the intersection of data analysis, programming and cartography. The role designs and maintains spatial datasets and workflows, performs repeatable geospatial ...

GIS Analyst

Terre Haute, IN · On-site

$25 - $29/hr

The GIS Data Analyst will work at the intersection of data analysis, programming and cartography. The role designs and maintains spatial datasets and workflows, performs repeatable geospatial ...

GIS Data Analyst Tremendous opportunity for a GIS Analyst to join a stable company making big ... Utilize their practical knowledge to ensure field generated spatial data from various sources is ...

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 ...

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 ...

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Spatial Data Analyst information

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$34K

$82.6K

$136K

How much do spatial data analyst jobs pay per year?

As of Jun 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 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.

What is the top GIS salary?

The highest GIS salaries for experienced Spatial Data Analysts can exceed $100,000 annually, especially in high-demand industries or regions with a strong tech or government presence. Salaries vary based on experience, certifications, and technical skills such as proficiency in ArcGIS or QGIS, with senior roles and specialized expertise commanding the top pay.

Is GIS a high demand job?

GIS (Geographic Information Systems) and spatial data analyst roles are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data for decision-making. These jobs often require proficiency in GIS software like ArcGIS or QGIS and relevant certifications, with employment opportunities expected to grow as data-driven approaches expand.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including Spatial Data Analysts, use AI to enhance data processing, pattern recognition, and predictive modeling. While AI automates certain tasks, GIS skills remain essential for interpreting spatial data, designing workflows, and ensuring data accuracy, making AI a complementary tool rather than a replacement.

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.
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Spatial Data Manager

Full-time

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