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Cyber Intelligence Analyst Jobs in Oregon (NOW HIRING)

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

... cyber tools, network defense, signals analysis, and intelligence production; strict requirements for handling classified information and complying with security and information assurance standards ...

Showing results 21-40

Cyber Intelligence Analyst information

See Oregon salary details

$68.2K

$116.1K

$164.9K

How much do cyber intelligence analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for cyber intelligence analyst in Oregon is $116,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $137,400.00 per year, depending on experience, location, and employer.

What does a cyber intelligence analyst do?

A Cyber Intelligence Analyst is responsible for monitoring, analyzing, and interpreting information about cyber threats to help protect an organization's digital assets. They collect data from various sources, assess potential risks, and provide actionable intelligence to prevent or mitigate cyberattacks. These analysts also work closely with IT and security teams to develop strategies for defense and incident response. Their role is crucial in identifying emerging threats and ensuring an organization remains resilient against cybercrime.

How much does a cyber intelligence analyst make?

The average salary for a cyber intelligence analyst typically ranges from $70,000 to $120,000 annually, depending on experience, certifications, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or security clearances can earn higher salaries.

What are the key skills and qualifications needed to thrive as a cyber intelligence analyst, and why are they important?

To thrive as a Cyber Intelligence Analyst, you need a solid background in cybersecurity principles, threat analysis, and intelligence gathering, often supported by a relevant degree and certifications like CISSP or CompTIA Security+. Familiarity with threat intelligence platforms, SIEM tools, and network monitoring systems is commonly required. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this field. These skills are crucial for identifying and mitigating cyber threats, ensuring organizational security, and facilitating informed decision-making.

What is a cyber intelligence analyst?

A cyber intelligence analyst, or cyber threat analyst, oversees IT security to prevent cyber threats such as information or data breaches. Their job is to use computer skills to examine potential intelligence threats and to protect computer data systems. Responsibilities include analyzing technical data to determine the best way to protect against cyber threats posed by hackers and malware. You likely need a bachelor's degree or higher in this career.

What are the typical daily responsibilities of a cyber intelligence analyst, and how do they interact with other teams?

As a Cyber Intelligence Analyst, your daily responsibilities often include monitoring security feeds, analyzing threat reports, and investigating suspicious activities to identify potential cyber threats. You’ll regularly collaborate with IT security teams, incident response units, and sometimes law enforcement, sharing insights and helping to coordinate responses to threats. Working closely with these teams ensures a comprehensive approach to organizational security, and you’ll often participate in briefings or strategy sessions to inform and update stakeholders on emerging risks. This role requires strong analytical skills, attention to detail, and effective communication across technical and non-technical groups.
What are the most commonly searched types of Cyber Intelligence Analyst jobs in Oregon? The most popular types of Cyber Intelligence Analyst jobs in Oregon are:
What are popular job titles related to Cyber Intelligence Analyst jobs in Oregon? For Cyber Intelligence Analyst jobs in Oregon, the most frequently searched job titles are:
What are popular job titles related to Cyber Intelligence Analyst jobs in OR? For Cyber Intelligence Analyst jobs in OR, the most frequently searched job titles are:
Infographic showing various Cyber Intelligence Analyst job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,141 per year, or $55.8 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

Portland, OR • On-site

Full-time

Re-posted 17 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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