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Remote Intelligence Analyst Jobs in California (NOW HIRING)

Intelligence Pipeline Analyst

San Francisco, CA ยท On-site +1

$90K - $120K/yr

... media intelligence and operational data analytics, supporting some of the most mission-critical ... Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 ...

Intel Analyst

El Segundo, CA ยท 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 ...

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 Intelligence Analyst information

See California salary details

$40.5K

$98.7K

$152.5K

How much do remote intelligence analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote intelligence analyst in California is $98,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $118,900.00 per year, depending on experience, location, and employer.

What is a Remote Intelligence Analyst?

A Remote Intelligence Analyst is a professional who gathers, evaluates, and interprets information from various sources to support decision-making, typically for organizations focused on security, defense, or business intelligence. They work from a remote location, using digital tools to analyze data, produce reports, and provide actionable insights. This role often involves monitoring trends, assessing threats, and collaborating with teams virtually to inform strategy or operations. Remote Intelligence Analysts must have strong analytical skills, attention to detail, and proficiency with specialized software. Their work is crucial for organizations that require timely and accurate intelligence while allowing flexibility in work location.

What Does a Remote Intelligence Analyst Do?

As a remote intelligence analyst, your primary responsibilities are to provide analysis of intelligence information and report on your findings, all while you work from home. You review information or data and offer a comprehensive understanding that gets turned into strategies. Your duties require you to research subjects, identify risks, and create detailed reports. You can find remote intelligence analyst jobs in the government, military, private businesses, non-governmental organizations, and think tanks. Many intelligence analyst positions involve international subjects and specialize in specific areas such as cybersecurity, technology, engineering, and regions of the world.

What is the difference between Remote Intelligence Analyst vs Remote Data Analyst?

AspectRemote Intelligence AnalystRemote Data Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; often security clearanceBachelor's in Data Science, Statistics, or related field; certifications like CAP or Microsoft Certified
Work EnvironmentGovernment agencies, defense, intelligence firmsCorporations, consulting firms, tech companies
Employer & Industry UsagePrimarily government and defense sectorsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Intelligence Analysts focus on security, national defense, and intelligence gathering, often requiring security clearances. Remote Data Analysts analyze large datasets to inform business decisions across various industries. While both roles involve data analysis skills, their work environments and industry applications differ significantly.

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

To thrive as a Remote Intelligence Analyst, you need strong analytical abilities, critical thinking, and a background in intelligence studies or a related field. Familiarity with data analysis tools, intelligence databases, and secure communication platforms is typically required, and certifications such as Security+ or Certified Intelligence Analyst may be beneficial. Exceptional written communication, attention to detail, and discretion are key soft skills for synthesizing information and collaborating securely with teams. These skills are vital for producing accurate, actionable intelligence while maintaining security and effectiveness in a remote setting.

How do Remote Intelligence Analysts typically collaborate with team members and stakeholders despite working off-site?

Remote Intelligence Analysts frequently use secure communication platforms, such as encrypted messaging, video conferences, and shared digital workspaces, to collaborate with colleagues and share findings. They often attend regular virtual meetings to discuss ongoing cases, coordinate research efforts, and provide updates to both internal teams and external partners. Maintaining clear and timely communication is essential, as remote analysts must ensure their insights are effectively integrated into decision-making processes even when not physically present.
What are the most commonly searched types of Intelligence Analyst jobs in California? The most popular types of Intelligence Analyst jobs in California are:
What cities in California are hiring for Remote Intelligence Analyst jobs? Cities in California with the most Remote Intelligence Analyst job openings:
Infographic showing various Remote Intelligence Analyst job openings in California as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $98,748 per year, or $47.5 per hour.
Intelligence Pipeline Analyst

Intelligence Pipeline Analyst

Zignal Labs

San Francisco, CA โ€ข On-site, Remote

$90K - $120K/yr

Full-time

Posted 5 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