Cyber Data Analyst

Peraton•Arlington, VA

1d•Onsite

About The Position

Peraton is seeking an experienced Cyber Data Analyst to join their FSC program within the Cyber & Intelligence sector. This role is based on-site in Arlington, VA. Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, Peraton delivers trusted, highly differentiated solutions and technologies to protect the nation and allies. The company operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. Peraton serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces, with employees solving the most daunting challenges facing customers daily.

Requirements

A bachelor’s degree and minimum of 5 years of relevant experience.
An additional 4 years of experience may be substituted in lieu of degree.
Must possess or be able to obtain the following certification before start date. Continued certification required as a condition of employment: CAP, CASP+ CE, CCISO, CCNA-Security, CISM, CISSP (or Associate), CISSP (or Associate), CND, CSSLP, CySA+, GICSP, GSEC, GSLC, Security+ CE, SSCP, PPDA, Agile IC, SNOW App Dev
Experience with SIEM, EDR/XDR, and network security telemetry (e.g., Splunk, Microsoft Defender, Palo Alto Networks).
Familiarity with SQL, Python, or PySpark for data manipulation.
Familiarity with the use of artificial intelligence to add efficiencies to, or automate data capture, sort and analysis efforts, ideally within a cyber security or threat intelligence context.
U.S. citizenship required.
Active Top Secret security with the ability to obtain a final Top Secret/SCI security clearance.

Nice To Haves

Building executive-level dashboards and presenting insights to non-technical stakeholders.
Exposure to anomaly detection or basic statistical modeling (not full ML ownership).
In federal or DoD/DoS environment, particularly with missions involving the creation and application of cyber threat intelligence.

Responsibilities

Analyze large cybersecurity datasets (e.g., network logs, authentication data, threat intelligence) to identify trends, anomalies, and potential risks
Develop and maintain dashboards and reports (e.g., Power BI, Tableau) to provide actionable insights to leadership and operational teams
Perform data validation, cleansing, and transformation to ensure accuracy and reliability of reporting
Support anomaly detection and trend analysis through statistical methods and exploratory data analysis
Collaborate with cybersecurity analysts to translate data findings into operational insights and recommendations
Develop and refine metrics (e.g., phishing rates, authentication anomalies, threat activity trends) to improve situational awareness
Conduct root cause and gap analysis to identify weaknesses in monitoring or detection coverage
Support automation of recurring data processes and reporting workflows (e.g., Python, SQL, Databricks)
Document methodologies, assumptions, and data sources to ensure transparency and reproducibility