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Spatial Analysis Jobs (NOW HIRING)

Vibrant Planet

Spatial Wildfire Analyst

Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial data and modeling frameworks * Develop and adhere to data standards * Incorporate data quality ...

Town of Fairfield

GIS Analyst

Fairfield, CT

$97K/yr

Performs spatial analysis for infrastructure condition assessments, lifecycle planning, and service area evaluations. Supports asset management systems and coordinates with pavement management and ...

United Airlines

GIS Analyst

Houston, TX

$73K - $174K/yr

GIS & Spatial Analysis * Develop and maintain GIS datasets using ArcGIS Pro. * Perform spatial analysis, geoprocessing, and data validation. * Create maps, dashboards, and geospatial visualizations.

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How much do spatial analysis jobs pay per year?

As of Jul 27, 2026, the average yearly pay for spatial analysis in the United States is $123,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $128,000.00 per year, depending on experience, location, and employer.

Will GIS be replaced by AI?

GIS (Geographic Information Systems) professionals use AI to enhance spatial analysis, automate data processing, and improve decision-making. While AI tools are increasingly integrated into GIS workflows, they complement rather than replace the core skills of spatial analysts, who interpret and validate data. Proficiency in GIS software and understanding AI applications are valuable for job success in this field.

What does a spatial analyst do?

A spatial analyst collects, interprets, and analyzes geographic data to solve location-based problems. They use GIS (Geographic Information Systems) tools and spatial modeling techniques to support decision-making in fields like urban planning, environmental management, and transportation. Strong analytical skills and knowledge of spatial data are essential for this role.

What types of projects and responsibilities can I expect in a Spatial Analysis role?

As a Spatial Analysis professional, you'll typically work on projects involving the collection, processing, and interpretation of location-based data to support initiatives like urban planning, environmental assessment, or infrastructure development. Your daily responsibilities may include creating detailed maps, analyzing spatial trends, and presenting actionable insights to other departments or clients. Collaboration with planners, engineers, and decision-makers is common, requiring the ability to adapt your findings for both technical and non-technical audiences. This role offers variety and the opportunity to see your work directly inform real-world projects, providing a strong foundation for career growth in areas such as GIS management, data science, or project leadership.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using GIS software, remote sensing, and spatial data to solve real-world problems across industries like urban planning, environmental management, and transportation. It offers opportunities for technical skill development, often requires proficiency in tools like ArcGIS or QGIS, and can provide stable employment with increasing demand for spatial data expertise.

How much does a GIS analyst earn?

The average salary for a GIS analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills in GIS software and spatial analysis tools can earn higher salaries.

What is a Spatial Analysis job?

A Spatial Analysis job involves using geographic information systems (GIS), remote sensing, and statistical techniques to analyze spatial data and identify patterns, relationships, and trends. Professionals in this field work in industries such as urban planning, environmental science, transportation, and public health to support decision-making and problem-solving. They often use mapping software, data visualization, and programming languages like Python or R to process and interpret spatial data efficiently.

What are the key skills and qualifications needed to thrive in the Spatial Analysis position, and why are they important?

To succeed in Spatial Analysis, you need a strong background in geography, cartography, data analysis, and statistics, often supported by a relevant degree or certification such as GIS (Geographic Information Systems). Familiarity with technical tools like Esri ArcGIS, QGIS, spatial databases, and programming languages such as Python or R is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights with diverse stakeholders. These abilities are crucial for accurately analyzing spatial data to inform decision-making across urban planning, environmental management, and commercial projects.

More about Spatial Analysis jobs
What cities are hiring for Spatial Analysis jobs? Cities with the most Spatial Analysis job openings:
What are the most commonly searched types of Spatial Analysis jobs? The most popular types of Spatial Analysis jobs are:
What states have the most Spatial Analysis jobs? States with the most job openings for Spatial Analysis jobs include:
What job categories do people searching Spatial Analysis jobs look for? The top searched job categories for Spatial Analysis jobs are:
Spatial Analysis jobs near you
Infographic showing various Spatial Analysis job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.
Spatial Wildfire Analyst

Spatial Wildfire Analyst

Vibrant Planet

Remote

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Job Overview:
The need for proven wildfire hazard and risk modeling has never been greater. Our wildlands are at a tipping point and need streamlined approaches to assessing, planning, and implementing wildfire risk mitigation measures. Land managers, emergency responders, community planners, insurers, and many others have needs for reliable information on wildfire risk. Further, there is emerging demand for actionable wildfire risk information from the energy, construction, and industrial sectors.
The cultivation of data and application of science into strategic frameworks that enable tradeoff analysis and risk-informed decision making is critical to reducing catastrophic wildfire events. The Vibrant Planet Platform (VPP) is a decision support system for hazard mitigation and ecological restoration so we can help communities and managers get to implementation fast and effectively adapt those plans when conditions inevitably change. Pyrologix's fire modeling capabilities are the engine that support hazard and risk modeling not only in VPP but also across many sectors including utilities, communities, and insurance. We need additional talent to support Vibrant Planet's and Pyrologix's growing demand.
We are seeking an experienced, technically skilled, and highly motivated individual with an eye for customer-focused delivery of state-of-the-art wildfire analytics. The individual will join the Pyrologix Applied Fire Science team and develop, improve, and further automate wildfire fire modeling, provide spatial analysis, and support other wildfire analytics as assigned. The position is remote (a hybrid home-and-office arrangement based in Missoula, Montana would be preferred). Working comfortably and effectively as part of a distributed team is crucial. Some travel may be required.
Responsibilities:
  • Improve fire modeling calibration and validation and potentially develop new fuel and fire modeling approaches
  • Contribute to further development of fire behavior modeling automation
  • Perform spatial and temporal data analysis across large landscapes
  • Develop and implement spatial data and modeling frameworks
  • Develop and adhere to data standards
  • Incorporate data quality assurance and quality control into all work products
  • Document methodology and contribute to reports, presentations and other publications
  • Contribute to proposal development for new business opportunities

Required Qualifications:
  • Experience designing and performing custom analyses of vector and raster results of inputs and outputs of a wide range of fire modeling systems
  • Experience parameterizing, operating and interpreting incident-level wildfire behavior modeling systems such as FSPro, FARSITE, and their equivalents
  • Proficient at using commercial or open-source GIS software (ArcMap, ArcGIS, or QGIS, for example) to perform spatial analysis of vector and raster data
  • Experience writing or editing scripts to perform spatial analysis
  • Able to function well as part of a multi-disciplinary problem-solving team
  • Excellent attention to details
  • Ability to learn new concepts quickly
  • Excellent oral and written communication skills

Desired Qualifications:
  • Working knowledge of Rothermel-based spatial fire behavior modeling systems such as FSim, RANDIG, FConst, FSPro or FlamMap
  • Working knowledge of how fire behavior modeling inputs-including surface and canopy fuel characteristics, weather/climate, and topography-affect fire behavior characteristics
  • Experience producing and/or analyzing spatial fire modeling outputs, including burn probability, fire intensity, perimeter polygons, ignition sources, such as datasets hosted on the FS Research Data Archive.
  • Experience with fuelscape vegetation and fuels datasets, such as datasets produced by LANDFIRE's vegetation team and fuels team. Some examples of these datasets include: Existing Vegetation Type (EVT), Fuels Vegetation Cover (FVC), Canopy Cover (CC), Canopy Base Height (CBH), and Fuel Disturbance (FDist).
  • Experience working in wildfire sciences and/or management, such as incident response, fuels management, fire research, etc.
  • Experience with Python geospatial libraries such as GeoPandas, Rasterio, Shapely, GDAL, and ArcPy (or equivalent in R) with the ability to utilize existing Python scripts and to contribute to the enhancement and automation of fire modeling.
  • Familiarity with land management and wildfire decision support datasets, models, software, and workflows. For example, LANDFIRE, Wildland Fire Decision Support System (WFDSS), FlamMap, Nexus, WindNinja, FSim, Interagency Fuel Treatment Decision Support System (IFTDSS), Google Earth Engine.
  • Familiarity with processing remote sensing datasets such as LiDAR, NAIP, and LANDSAT.
  • Understanding of ecology in dry forests and Mediterranean environments and ecological forest management; ability to effectively communicate scientific concepts to lay audiences.
  • Experience supporting risk-based wildfire-incident decision making as part of a large-fire incident management team (e.g., LTAN, FBAN, etc.)

Duty Requirements:
  • Full time, year-round employment with existing legal authorization to work in the US
  • Ability to work normal business hours with a team based in the Mountain and Pacific time zones
  • Remote position with an operational home office with sufficient internet speed
  • Office space available in Missoula, MT

Compensation:
  • $100-130k base salary (dependent on experience and qualifications)

Benefits:
  • Health insurance
  • Unlimited PTO policy
  • 401k
  • Company equity
  • Home office set-up allowance (one time)

Equal Opportunity Employer:
Vibrant Planet and Pyrologix are committed to diversity. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, or other status protected by law to apply.
We are interested in finding the best candidate for the job, and that candidate may come from a less traditional background, but have capacity to grow into and thrive in the position after some mentoring. We do not require that you have experience with every job description task. We will consider any equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. We encourage each candidate to think broadly about their unique background and skill set and how it may relate to the role.

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