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Remote Geospatial Intelligence Analyst Jobs in California

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... NIST CSF, MITRE ATT&CK) and threat intelligence standards (STIX/TAXII). * Collaborate ...

... intelligence, trade-area analytics, site selection, market planning, geospatial analysis, or ... from a remote office location Benefits This role is eligible for healthcare including medical ...

PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field. * Deep Domain Expertise: 12+ years of experience in remote sensing and ...

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Remote Geospatial Intelligence Analyst information

What is a Remote Geospatial Intelligence Analyst?

A Remote Geospatial Intelligence Analyst is a professional who analyzes geographic and spatial data to support decision-making, often for government, defense, or commercial organizations, while working from a remote location. They use satellite imagery, maps, and other geospatial data to identify patterns, monitor activities, and provide actionable intelligence. Their work supports missions like disaster response, military operations, urban planning, and environmental monitoring. Remote analysts use specialized software to interpret data and often collaborate with teams through digital platforms. This role requires strong analytical skills, attention to detail, and expertise in geospatial technologies.

What are some common challenges faced by remote geospatial intelligence analysts, and how can they be addressed?

Remote geospatial intelligence analysts often encounter challenges such as coordinating with dispersed teams, accessing secure data, and maintaining situational awareness without in-person briefings. Overcoming these hurdles typically involves strong communication skills, familiarity with collaborative mapping tools, and adherence to robust cybersecurity protocols. Staying proactive in seeking feedback and clarifying mission objectives with team leads helps ensure accuracy and effective support for decision-makers, even from a remote location.

What is the difference between Remote Geospatial Intelligence Analyst vs Remote GIS Analyst?

AspectRemote Geospatial Intelligence AnalystRemote GIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certifications often preferredBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentGovernment agencies, defense, intelligence, or private sector with security clearanceEnvironmental agencies, urban planning, utilities, or private companies
Industry UsagePrimarily in defense, intelligence, and security sectors
Search & Comparison IntentOften compared for skills, certifications, and work scope

The Remote Geospatial Intelligence Analyst and Remote GIS Analyst roles share similar educational backgrounds and certifications. However, the Intelligence Analyst typically works in security-focused environments, analyzing geospatial data for defense or intelligence purposes, while the GIS Analyst focuses on mapping, urban planning, and environmental projects. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

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

To thrive as a Remote Geospatial Intelligence Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, typically supported by a relevant bachelor’s degree. Expertise in geospatial software like ArcGIS, ERDAS Imagine, and familiarity with data visualization and imagery analysis tools is essential, along with certifications such as GISP being advantageous. Attention to detail, analytical thinking, and strong communication skills are crucial for interpreting data and conveying complex findings to decision-makers. These skills and qualities are vital for producing accurate, actionable intelligence that supports security, defense, and organizational objectives.
What are the most commonly searched types of Geospatial Intelligence Analyst jobs in California? The most popular types of Geospatial Intelligence Analyst jobs in California are:
What job categories do people searching Remote Geospatial Intelligence Analyst jobs in California look for? The top searched job categories for Remote Geospatial Intelligence Analyst jobs in California are:
What cities in California are hiring for Remote Geospatial Intelligence Analyst jobs? Cities in California with the most Remote Geospatial Intelligence Analyst job openings:

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Posted 8 days ago


Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

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