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Spatial Analyst Jobs in Boston, MA (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 ...

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate and weather systems, population distribution, cultural geography, economic geography, and ...

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate and weather systems, population distribution, cultural geography, economic geography, and ...

Deep knowledge of physical geography, human geography, map reading and spatial analysis, climate and weather systems, population distribution, cultural geography, economic geography, and ...

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Showing results 1-20

Spatial Analyst information

See Boston, MA salary details

$33.7K

$79.6K

$141.2K

How much do spatial analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for spatial analyst in Boston, MA is $79,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,500.00 per year, depending on experience, location, and employer.

How does a Spatial Analyst typically collaborate with other departments on large-scale projects?

Spatial Analysts often work closely with teams such as urban planning, environmental science, engineering, and IT to integrate geographic data into broader project goals. They translate complex spatial datasets into actionable insights, ensuring that maps, models, and analyses align with the needs of each department. Regular meetings and cross-functional workshops are common, where Spatial Analysts present findings, address technical questions, and adapt their analyses based on feedback. This collaborative environment helps ensure that spatial data supports decision-making across the organization.

What is the difference between Spatial Analyst vs GIS Technician?

AspectSpatial AnalystGIS Technician
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certificationsAssociate's or Bachelor's in GIS, Geography, or related field; GIS certifications
Work EnvironmentField and office; analysis and data modelingOffice-based; data entry and map creation
Employer & Industry UsageGovernment agencies, environmental firms, urban planningMunicipalities, engineering firms, GIS service providers
Common Search & Comparison IntentUnderstanding GIS analysis rolesEntry-level GIS data work

While both roles work within GIS environments, Spatial Analysts focus on complex spatial data analysis and modeling, often requiring advanced skills and certifications. GIS Technicians typically handle data entry, map creation, and basic GIS tasks. The roles complement each other, with Spatial Analysts providing in-depth analysis and GIS Technicians supporting data management and visualization.

What are the key skills and qualifications needed to thrive as a Spatial Analyst, and why are they important?

To thrive as a Spatial Analyst, you need a strong background in geography, GIS (Geographic Information Systems), data analysis, and spatial statistics, typically supported by a relevant degree. Proficiency with tools like ArcGIS, QGIS, Python, and remote sensing software, as well as certifications such as Esri Technical Certification, are commonly required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting spatial data and presenting findings to stakeholders. These skills are vital for delivering accurate spatial insights that inform decision-making across various industries.

What does a Spatial Analyst do?

A Spatial Analyst is a professional who uses geographic information systems (GIS) and related technologies to analyze spatial data and solve problems involving location, patterns, and relationships on the earth’s surface. They interpret and process geographic and spatial information to support decision-making in fields such as urban planning, environmental management, and transportation. Their work often involves creating maps, modeling spatial phenomena, and performing statistical analysis to visualize and understand spatial patterns.
What are popular job titles related to Spatial Analyst jobs in Boston, MA? For Spatial Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Spatial Analyst jobs in Boston, MA look for? The top searched job categories for Spatial Analyst jobs in Boston, MA are:
Infographic showing various Spatial Analyst job openings in Boston, MA as of June 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, and 4% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $79,591 per year, or $38.3 per hour.
Spatial Data Manager

Spatial Data Manager

WaterSuite

Braintree, MA • On-site

Full-time

Posted 11 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