Cyber Data Analyst

Peraton•Arlington, VA

1d•Onsite

About The Position

Peraton is hiring an experienced Cyber Data Analyst to become a part of our FSC program in the Cyber & Intelligence sector. This role is located on-site in Arlington, VA. The Cyber Data Analyst will be responsible for analyzing large cybersecurity datasets, developing and maintaining dashboards, performing data validation, and supporting anomaly detection. The position involves collaborating with cybersecurity analysts to translate data findings into actionable insights and recommendations, developing metrics to improve situational awareness, and conducting root cause analysis. Additionally, the role supports the automation of data processes and reporting workflows and requires documentation of methodologies.

Requirements

A bachelor’s degree and minimum of 9 years of relevant experience. An additional 4 years of experience may be substituted in lieu of degree.
Must possess or be able to obtain one of the following certification before start date: CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP.
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).
Experience 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