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Remote Intelligence Analyst Jobs in California (NOW HIRING)

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 ...

Fully remote anywhere in the United States. Employment Type: 1+ year contract with possibility to extend. Role Overview We are seeking a Reporting Analyst/BI Developer with a focus on visualization ...

Fraud Operations Analyst

Palo Alto, CA · On-site +1

$81K - $90K/yr

Wealthfront is currently hiring a fully remote Fraud Operations Analyst I to be responsible for ... Embody the qualities of being a true team player - curiosity, humility, intelligence, and openness ...

Wealthfront is currently hiring a fully remote Fraud Operations Analyst I to be responsible for ... Embody the qualities of being a true team player - curiosity, humility, intelligence, and openness ...

Remote Finance Analyst

San Francisco, CA · On-site +1

$100 - $200/hr

... intelligence with systems that perform reliably, deliver measurable impact, and drive lasting ... Strong grasp of financial concepts (investment analysis, research, forecasting, revenue builds ...

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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 Jun 15, 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 job categories do people searching Remote Intelligence Analyst jobs in California look for? The top searched job categories for Remote 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:
Looker BI Analyst (100% Remote)

Looker BI Analyst (100% Remote)

Pddn

San Francisco, CA • Remote

Contractor

Posted 28 days ago


Job description

Job Description:

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Must have 5+ years of experience with implementing and managing BI platforms for business intelligence, data applications, and embedded analytics.

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Experience with Looker a cloud-based business intelligence (BI) platform designed to explore and analyze data.

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Must have 2 years of experience in developing LOOKML, Looker Dashboards and Look-Linked Tiles.

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Must have strong expertise in SQL, preferably across multiple dialects.

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Build, maintain and administer Looker as the primary BI tool and be the driving force behind the adoption and effective use of Looker within every team.

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Must be a Data Explorer using Looker daily to create and curate content, as well as prior experience with data visualization and building reports.

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Experience with Looker Explores to query data, validate data accuracy, identify error sources and control content access for security.

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Experience in Data visualizations, Scheduling and sharing Looks and dashboards, Table calculations, Looker expressions, Custom and advanced filters, Impacts of pivoting.

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Experience with best practices around designing dashboards, Fundamentals of caching and reporting tools: Tableau, Excel, Power BI, etc.

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Maintain and debug LookML code, Build user-friendly Explores, Design robust models, Define caching policies, Understand various datasets and associated schemas.

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Experience with Looker IDE, Text editor, Looker's SQL Runner, Content Validator, LookML Validator and Version control.

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Troubleshoot errors in existing data models. Implement data security requirements. Analyze data models and business requirements to create LookML objects.

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Design new LookML dimensions and Build Explores for users to answer business questions and optimize queries and reports for performance.

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Implement persistent derived tables, caching policies, version control and assess code quality, utilize SQL Runner for data validation.

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Experience with Looker query builder, Looker SQL generator, LookML models and views.

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Knowledge with a scripting language (Python, Ruby, etc.) to build data models and ETL workflow modeling.

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Knowledge of relational Databases or Data Warehouses (Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, Snowflake, etc.)

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