Data Analyst – Cyber Analytics​/Top Secret

Minimum Requirements:

• Bachelor's degree and minimum 9 years experience; 7 Years with Masters; 4 Years with PhD.
  • An additional four (4) years of experience may be substituted in lieu of the bachelor's degree requirement.
• Must possess or be able to obtain one of the following certification before start date. Continued certification required as a condition of employment
  • CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP
• Experience using Python and Pandas for data analysis and transformation.
• Experience writing and troubleshooting SQL queries for data extraction and analysis.
• Experience building dashboards and reports using Power BI, Tableau, or similar visualization platforms.
• Familiarity with cybersecurity data sources such as SIEM, EDR/XDR, authentication logs, or network telemetry.
• Familiarity with supervised and unsupervised machine learning concepts and models.
• Ability to communicate analytical findings to technical and non-technical stakeholders.
• U.S. citizenship required.
• Active Top Secret security clearance with the ability to obtain TS/SCI.

• Experience working with Splunk, Microsoft Defender, Palo Alto Networks, or similar cybersecurity platforms.
• Familiarity with Databricks, PySpark, or large-scale data environments.
• Exposure to anomaly detection, trend analysis, statistical analysis, or machine learning applications.
• Experience supporting federal, DoD, or DoS environments.
• Experience automating recurring reporting or data processing workflows.
• Familiarity with leveraging AI tools, copilots, or basic agent-based workflows to automate or enhance data analysis, reporting, and operational tasks.

Peraton is seeking an experienced Data Analyst – Cyber Analytics professional to support our Federal Strategic Cyber (FSC) Program within the Cyber & Intelligence Sector.

Location:

On-site in Arlington, VA.

In this role, you'll work with large-scale cybersecurity and operational datasets to uncover trends, identify emerging threats, and deliver insights that drive mission-critical decisions. You'll collaborate with cybersecurity engineers, threat analysts, and program leaders to transform complex data into meaningful intelligence that strengthens national security operations.

This is an excellent opportunity for a data professional who enjoys combining analytics, automation, visualization, and cybersecurity to solve real-world challenges in a high-impact federal environment.

• Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms to support operational and leadership reporting.
• Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL.
• Support recurring reporting and analytics workflows by automating manual processes and improving data quality checks.
• Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making.
• Collaborate with cybersecurity analysts and stakeholders to translate business and operational requirements into data-driven insights.
• Develop and maintain metrics related to cyber activity, authentication trends, phishing events, and external threat activity.
• Assist with identifying reporting gaps, data inconsistencies, and opportunities for process improvement.
• Document data sources, reporting methodologies, business rules, and analytical processes to support transparency and repeatability.
• Support ad hoc reporting requests and operational data analysis efforts.

#DSCM