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Remote Geospatial Intelligence Analyst Jobs in California

Zignal Labs

Intelligence Pipeline Analyst

San Francisco, CA · On-site +1

$90K - $120K/yr

Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and ... Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 ...

SAIC

Intel Analyst

El Segundo, CA · On-site +1

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking you, our latest experienced Intelligence Analyst to serve as a subject matter expert in the developing, deploying ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

Pddn

Looker BI Analyst (100% Remote)

San Francisco, CA · Remote

Experience with Looker a cloud-based business intelligence (BI) platform designed to explore and analyze data. Must have 2 years of experience in developing LOOKML, Looker Dashboards and Look-Linked ...

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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 are popular job titles related to Remote Geospatial Intelligence Analyst jobs in California? For Remote Geospatial Intelligence Analyst jobs in California, the most frequently searched job titles 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:
Remote Geospatial Intelligence Analyst jobs near you
Intelligence Pipeline Analyst

Intelligence Pipeline Analyst

Zignal Labs

San Francisco, CA • On-site, Remote

$90K - $120K/yr

Full-time

Posted 14 days ago

Job description

About Zignal Labs
At Zignal Labs, we operate at the forefront of AI-powered media intelligence and operational data analytics, supporting some of the most mission-critical defense, intelligence, and commercial programs in the world.
We are seeking an Intelligence Pipeline Engineer to join our growing team. This role blends intelligence tradecraft, operational data engineering, AI-driven workflows, and real-time mission support.
This role is designed for professionals who can independently own operational intelligence workflows, drive pipeline optimization efforts, operationalize AI-enabled capabilities, and collaborate cross-functionally to support mission-critical operations.
Key Responsibilities
  • Design, configure, maintain, and optimize operational intelligence collection pipelines supporting real-time monitoring and alerting workflows
  • Independently build, curate, tune, and manage structured datasets, collection logic, enrichment workflows, and operational intelligence pipelines
  • Develop and refine advanced collection strategies using Boolean logic, heuristics, metadata enrichment, tagging frameworks, geospatial filtering, and signal scoring methodologies
  • Drive continuous improvements in signal quality, workflow efficiency, operational relevance, and data reliability
  • Deploy, evaluate, monitor, and optimize AI/ML and computer vision models supporting operational intelligence workflows
  • Develop, test, and refine LLM-driven workflows, prompt frameworks, and AI-assisted alerting systems
  • Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and behavioral signals into actionable operational insights
  • Partner closely with Product, Engineering, Data Science, Customer Success, and mission stakeholders to operationalize new capabilities and improve workflows
  • Lead operational troubleshooting, pipeline hardening, workflow optimization, and issue resolution efforts
  • Identify emerging collection opportunities, platform shifts, operational risks, and regional digital ecosystem changes
  • Contribute to operational standards, workflow documentation, and best practices for intelligence pipeline engineering
  • Mentor junior team members supporting operational intelligence workflows
  • Uphold classification, security, legal, and ethical standards for government-facing operational environments

Required Qualifications
  • Active TS/SCI clearance preferred or ability to obtain and maintain one
  • 8+ years of experience supporting DoD, Intelligence Community, defense contractor, or related operational intelligence environments
  • Experience designing, operating, or optimizing intelligence collection workflows, operational monitoring pipelines, or AI-assisted analytical systems
  • Strong understanding of OSINT methodologies, operational collection strategies, and intelligence tradecraft
  • Advanced experience building and refining Boolean logic, heuristic filtering, operational tagging systems, or enrichment workflows
  • Familiarity with AI/ML concepts including NLP, clustering, anomaly detection, entity extraction, computer vision, or multimodal analysis
  • Ability to independently manage competing operational priorities in dynamic mission environments
  • Strong communication and cross-functional collaboration skills

Preferred Qualifications
  • Experience with Python, SQL, APIs, workflow orchestration, or scripting for operational automation and pipeline management
  • Experience supporting real-time operational monitoring and mission-critical alerting systems
  • Familiarity with AI-assisted analytical workflows, prompt engineering, or operational LLM integration
  • Experience collaborating with engineering or product teams to operationalize new capabilities
  • Experience mentoring analysts or engineers in operational intelligence environments
  • Familiarity with foreign social media ecosystems and globally distributed information environments relevant to defense missions

Why Join Zignal Labs?
At Zignal, you'll work at the forefront of AI-powered data intelligence, supporting some of the most mission-critical defense and intelligence programs in the world. You'll play a key role in how large-scale data is collected, refined, and deployed in support of national security and critical commercial environments.
Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 Employment type Full-time

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