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Remote Intelligence Analyst Jobs in Portland, OR

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Remote Intelligence Analyst information

See Portland, OR salary details

$43.5K

$106.1K

$163.8K

How much do remote intelligence analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote intelligence analyst in Portland, OR is $106,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $127,800.00 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 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 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.

More about Remote Intelligence Analyst jobs

What are the most commonly searched types of Intelligence Analyst jobs in Portland, OR?

The most popular types of Intelligence Analyst jobs in Portland, OR are:

What are popular job titles related to Remote Intelligence Analyst jobs in Portland, OR?

For Remote Intelligence Analyst jobs in Portland, OR, the most frequently searched job titles are:

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The top searched job categories for Remote Intelligence Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Intelligence Analyst jobs?

Cities near Portland, OR with the most Remote Intelligence Analyst job openings:

Remote Intelligence Analyst jobs near you
Infographic showing various Remote Intelligence Analyst job openings in Portland, OR as of September 2026, with employment types broken down into 72% Full Time, 20% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,113 per year, or $51 per hour.

Senior Product Manager | Remote (Portland-based) | Competitive Salary + Benefits | Tech

Portland, OR • Remote

White Bay
See more jobs at White Bayexternal

$134K - $177K/yr

Full-time

Posted 14 days ago

Key responsibilities

  • Set and own a multi-year roadmap for AI-driven products, including optimization, prediction, automation, and generative intelligence.

  • Lead, coach, and grow a team of AI product managers while ensuring strong execution and alignment with technical teams.

  • Drive product design and development of AI components such as models, forecasting engines, and insight-generation systems to ensure scalability, reliability, and user trust.

Job description

Senior Product Manager | Remote (Portland-based) | Competitive Salary + Benefits | Tech


The Company

A high-growth technology organization operates at the intersection of advanced software, data, and digital commerce. This ambitious team is building sophisticated tools that help modern businesses scale more efficiently, combining automation with strategic human insight. With a strong emphasis on learning, accountability, and thoughtful execution, the organization values people who thrive in fast-moving environments and take ownership of meaningful outcomes.


The Role

They are looking for a Senior Product Manager to lead the evolution of their AI capabilities and define how intelligence is embedded across the platform. This role owns the vision for AI-powered systems including optimization engines, generative experiences, predictive forecasting, agent-based workflows, and automated decision-making.

This is a senior, hands-on leadership position for someone who has delivered AI and machine learning products at scale and is comfortable operating at the crossroads of strategy, system design, and execution. The role partners closely with engineering, data science, and executive leadership while guiding a team of AI-focused product managers.


The Responsibilities

  • Set and own a multi-year roadmap for AI-driven products, spanning optimization, prediction, automation, and generative intelligence.
  • Identify emerging technologies and methodologies and translate them into high-impact product initiatives.
  • Define how AI enhances user outcomes across all product surfaces.
  • Lead, coach, and grow a team of AI product managers, encouraging high standards, experimentation, and fast learning cycles.
  • Work deeply with machine learning, data, platform, go-to-market, and customer teams to ensure strong execution.
  • Align senior stakeholders on priorities, tradeoffs, and long-term direction.
  • Partner with technical leaders to shape data strategy, model training approaches, evaluation metrics, and experimentation frameworks.
  • Guide best practices for model deployment, monitoring, governance, explainability, and responsible use.
  • Ensure models continuously improve through feedback loops and structured testing.
  • Drive product design for AI components such as optimization models, forecasting engines, creative intelligence, agent frameworks, and insight-generation systems.
  • Ensure AI systems are scalable, reliable, interpretable, and aligned with real customer needs.
  • Clearly articulate AI strategy, outcomes, and tradeoffs to technical teams, executives, and customer-facing groups.
  • Act as the senior product voice for AI initiatives across the organization.
  • Translate complex technical concepts into compelling business value narratives.
  • Ensure AI features are intuitive, configurable, and trusted by users.
  • Partner with design to create transparent interfaces that explain AI-driven decisions and give users appropriate control.
  • Drive measurable adoption and business impact across customer segments.


The Requirements


  • 8–12+ years of product management experience, with deep exposure to AI- or ML-powered products.
  • Proven track record of delivering and scaling machine learning systems in production environments.
  • Strong technical fluency across model training, evaluation, experimentation, and deployment concepts.
  • Experience leading product managers and influencing senior cross-functional stakeholders.
  • Excellent communication skills with the ability to simplify complexity and align diverse audiences.
  • Highly analytical mindset with comfort in metrics, experimentation, and data-driven decision-making.
  • Background in fast-paced SaaS, advertising technology, retail media, or similar environments.


Preferred experience

  • Experience with advertising platforms, bidding systems, forecasting models, or performance optimization.
  • Hands-on exposure to generative AI, LLMs, or agent-based systems in real-world applications.
  • Mandarin language skills to support cross-regional collaboration.


Apply Now

This is an opportunity to shape the intelligence layer of a platform used at massive scale and to influence how AI delivers real, everyday value for customers. If they are excited by complex systems, big ownership, and building practical AI products that matter, they are encouraged to apply and help define what’s next.


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