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Cyber Security Analytics Jobs (NOW HIRING)

Ardent

Cybersecurity Analytics Lead

Washington, DC

Ardent is seeking a Cybersecurity Analytics Lead to support the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program through fraud analytics operations, predictive analysis, forensic ...

GDIT

WV

Cybersecurity Analytics, Information Assurance, Security Technical Implementation Guide (STIG) Certifications: None Experience: 7 + years of related experience US Citizenship Required: Yes Transform ...

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How much do cyber security analytics jobs pay per year?

As of Jul 21, 2026, the average yearly pay for cyber security analytics in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities for someone working in Cyber Security Analytics?

Professionals in Cyber Security Analytics usually spend their days monitoring network activity for unusual patterns, analyzing security incidents, and investigating potential threats using advanced security tools. They may also be responsible for generating detailed reports, communicating findings to IT teams or executives, and helping develop proactive strategies to prevent future breaches. Collaboration with other cybersecurity specialists and departments is common to ensure a coordinated defense. This role demands continuous learning, as new threats emerge frequently, requiring analysts to stay current with evolving risks and technologies.

What is a Cyber Security Analytics job?

A Cyber Security Analytics job involves monitoring, analyzing, and responding to security threats using data-driven techniques. Professionals in this role collect and interpret cybersecurity data to detect anomalies, identify potential threats, and improve security measures. They use tools such as SIEM (Security Information and Event Management) systems, machine learning models, and threat intelligence platforms. Their goal is to protect an organization's digital assets by proactively preventing cyberattacks and mitigating risks. This role requires strong analytical skills, knowledge of cybersecurity frameworks, and experience with network security technologies.

What are the key skills and qualifications needed to thrive in the Cyber Security Analytics position, and why are they important?

To excel in Cyber Security Analytics, candidates typically need a solid grounding in computer science, data analysis, network security principles, and often a relevant degree or certifications such as CISSP or CompTIA Security+. Familiarity with SIEM tools, intrusion detection systems, threat intelligence platforms, and scripting languages like Python is crucial. Strong analytical thinking, problem-solving ability, and effective communication are valuable soft skills for interpreting and reporting security findings. These competencies enable professionals to detect, analyze, and mitigate cyber threats effectively, ensuring organizational security and swift incident response.

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Cyber Security Analytics jobs near you
Infographic showing various Cyber Security Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
Cybersecurity Analytics Lead

Cybersecurity Analytics Lead

Ardent

Washington, DC

Other

Medical, PTO

Re-posted 10 days ago

Job description

At Ardent, we hire people who want more than a job - they want to serve a mission that matters. Our teams support the federal government's most critical national security and defense priorities, helping protect the nation, strengthen resilience, and advance the technologies and capabilities that keep America secure. For veterans, cleared professionals, and purpose-driven innovators, Ardent is a place to continue serving alongside a team that understands the importance of the mission and the people behind it.

We also know top talent has choices, which is why we back our mission with benefits and flexibility that stand out: competitive pay, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, professional development support, wellness stipends, and a culture that values and rewards hard work, dedication, and adaptability. If you want to build something meaningful, while enjoying the kind of flexibility and support that you need to do your best work - Ardent is where your next mission begins.

Ardent is seeking a Cybersecurity Analytics Lead to join our team.  

This is an on-site position in Lanham, MD.

Position Description:

Ardent is seeking a Cybersecurity Analytics Lead to support the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program through fraud analytics operations, predictive analysis, forensic investigations, and cybersecurity monitoring activities. This role will support large-scale analytics initiatives focused on detecting anomalous, malicious, and fraudulent activity across IRS online application ecosystems.

Responsibilities and Duties:

  • Support fraud analytics, predictive analytics, and forensic analysis activities across enterprise environments.
  • Conduct analysis of structured and unstructured data to identify suspicious or anomalous activity.
  • Support implementation and enhancement of analytical models and fraud detection methodologies.
  • Perform log analysis, data correlation, and investigation of cybersecurity or fraud-related events.
  • Assist with development of analytical reports, briefings, and operational documentation.
  • Support incident response and mitigation activities related to fraudulent or malicious activity.
  • Collaborate with stakeholders to support data ingestion, ETL processes, and analytics platform enhancements.
  • Participate in development of fraud indicators, predictive models, and machine learning-based analytics.
  • Support continuous monitoring and analysis of IRS application ecosystems.
  • Assist with operational planning, technical analysis, and coordination activities.

Requirements: 

  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or related field, or equivalent demonstrated experience.
  • Minimum of 5 years of experience supporting cybersecurity operations, fraud analytics, data analytics, or enterprise monitoring environments.
  • Experience supporting cybersecurity monitoring, fraud detection, or incident response activities.
  • Experience conducting log analysis, data analysis, or investigative activities.
  • Ability to analyze data and identify suspicious or anomalous patterns.
  • Familiarity with cybersecurity monitoring tools, analytics platforms, or SIEM technologies.
  • Strong written and verbal communication skills.
  • Ability to work independently and support multiple operational priorities.

Preferred Qualifications: 

  • Experience supporting IRS, Treasury, Federal Civilian, Intelligence Community, or regulated environments.
  • Familiarity with machine learning, predictive analytics, or fraud analytics concepts.
  • Experience with tools such as Splunk, ElasticSearch, Python, R, SQL, Spark, or similar technologies.
  • Experience supporting ETL processes, data ingestion, or analytics platform operations.
  • Familiarity with cybersecurity incident response and forensic analysis activities.
  • Experience supporting enterprise cybersecurity or fraud monitoring programs.

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.

Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.

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