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Geospatial Analyst Jobs in Florida (NOW HIRING)

GIS/Geospatial Expert

Miami, FL ยท Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . * Document advanced technical workflows and problem-solving ...

GIS/geospatial Expert - Remote

Miami, FL ยท Remote

$80 - $100/hr

Provide expert analysis and feedback on GIS and geospatial challenges. * Document technical workflows using Python and AI coding agents . * Apply tools such as Codex, Claude Code, Claude Cowork, and ...

Geospatial Solutions Architect

Doral, FL ยท On-site

$60.25 - $79.50/hr

Shall optimize geospatial data layers for real-time analytics and cross domain information sharing. * Shall oversee the integration of geospatial AI/ML models, ensuring accuracy and alignment with ...

Knowledge in OSINT methodologies, geospatial data analysis, or intelligence tradecraft, and ESRI ArcGIS exposure and/or, dashboard analytics, or other mission-relevant tools. * Possess the knowledge ...

ASRC NetCentric Technology, LLC, a subsidiary of ASRC Federal, is seeking a full-time Geospatial Engineer to support our government customer at Cape Canaveral Space Force Station, FL. This role is an ...

ASRC NetCentric Technology, LLC, a subsidiary of ASRC Federal, is seeking a full-time Geospatial Engineer to support our government customer at Cape Canaveral Space Force Station, FL. This role is an ...

Knowledge in OSINT methodologies, geospatial data analysis, or intelligence tradecraft, and ESRI ArcGIS exposure and/or, dashboard analytics, or other mission-relevant tools. * Possess the knowledge ...

Showing results 41-60

Geospatial Analyst information

See Florida salary details

$16.4K

$57.9K

$91.2K

How much do geospatial analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for geospatial analyst in Florida is $57,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $59,800.00 per year, depending on experience, location, and employer.

What is a geospatial analyst?

A geospatial analyst works with geographic information systems (GIS) technology to examine aerial photography and satellite images. As a geospatial analyst, you may utilize GIS data to create maps, develop software, assist with urban planning, or inform environmental projects such as wildlife management and preservation. Your job duties include searching for data relevant to your project, preparing documentation and reports to explain your analysis, maintaining an accurate record of your work, and collaborating with your colleagues on projects.

What does a geospatial analyst do?

A Geospatial Analyst collects, analyzes, and interprets geographic data to support decision-making in various fields such as urban planning, environmental management, defense, and business. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to create maps, identify patterns, and solve spatial problems. Their work helps organizations visualize and understand complex spatial relationships, enabling more informed planning and resource allocation.

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

To thrive as a Geospatial Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or a related field. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and data visualization platforms is typically required, along with relevant certifications such as GISP. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and sharing insights with diverse stakeholders. These competencies are essential for producing accurate geospatial analyses that inform decision-making in fields like urban planning, environmental science, and defense.

What are some common challenges geospatial analysts face when integrating data from multiple sources?

Geospatial Analysts often work with datasets that come from a variety of sources, such as satellite imagery, GPS, and public databases. A common challenge is ensuring data compatibility and accuracy, as each source may use different formats, scales, or coordinate systems. Analysts need strong attention to detail to resolve discrepancies, standardize data, and maintain data quality. Collaboration with IT teams and data providers is essential for troubleshooting integration issues and ensuring smooth workflows.

What is the difference between Geospatial Analyst vs GIS Technician?

AspectGeospatial AnalystGIS Technician
Required CredentialsBachelor's degree in Geography, GIS, or related field; GIS certificationsAssociate's or Bachelor's degree; GIS certifications often preferred
Work EnvironmentField and office work, analyzing spatial data, creating mapsPrimarily office-based, data entry, map creation, database management
Employer & Industry UsageGovernment agencies, environmental firms, urban planningMunicipalities, engineering firms, utilities
Common Search & ComparisonFocuses on spatial analysis and data interpretationFocuses on data management and map production

The main difference between a Geospatial Analyst and a GIS Technician lies in their roles. Geospatial Analysts perform complex spatial data analysis and interpret geographic information, often requiring advanced skills and certifications. GIS Technicians primarily handle data entry, map creation, and database management. Both roles are essential in GIS projects but differ in scope and responsibilities.

Is geospatial analysis a good career?

Geospatial analysis is a growing field that involves using geographic information systems (GIS), remote sensing, and spatial data to solve real-world problems. It offers opportunities in sectors like urban planning, environmental management, and defense, often requiring technical skills and certifications. The career can be stable and well-paying for those with relevant expertise and experience.

Is geospatial analyst an entry-level job?

A geospatial analyst can be an entry-level position, especially for those with relevant skills in GIS software, data analysis, and spatial data management. Many entry-level roles require a bachelor's degree in geography, environmental science, or related fields, and some employers may prefer candidates with certifications or internship experience.

What are the most commonly searched types of Geospatial Analyst jobs in Florida?

The most popular types of Geospatial Analyst jobs in Florida are:

What cities in Florida are hiring for Geospatial Analyst jobs?

Cities in Florida with the most Geospatial Analyst job openings:

Infographic showing various Geospatial Analyst job openings in Florida as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $57,911 per year, or $27.8 per hour.

GIS/Geospatial Expert

Miami, FL โ€ข Remote

$80 - $100/hr

Full-time

Posted 4 days ago


Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.