Data Analyst – Cyber Analytics

Peraton

. Analyze large-scale cybersecurity and operational datasets, including network logs, authentication data, phishing activity, and threat telemetry .

Posted 9/29/2026full-timeArlington • Virginia • United StatesSeniorLead💰 $104,000 - $166,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analysis, including data preparation, validation, and transformation, with a strong foundation in cybersecurity concepts. Proficient in developing dashboards and automated reporting processes to enhance data quality and operational insights.

Highest-signal resume keywords

Python ProgrammingSQL Database ManagementData Visualization with Power BIStatistical Analysis and Machine LearningCybersecurity Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData PreparationData TransformationExploratory Data AnalysisAutomated Reporting PipelinesETL/ELT ProcessesStatistical AnalysisMachine LearningFeature EngineeringModel Validation

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

Power BITableauPandasScikit-learn

Certifications & Qualifications

CASP+/SecurityXCCNP SecurityCEHCFRCHFICISACISSPCloud+CNDCySA+

Industry Keywords

CybersecurityNetwork TelemetryThreat AnalysisOperational DatasetsData QualityPhishing ActivityAnomaly DetectionSituational AwarenessDecision-MakingReporting Processes

Tech Stack

Tools & technologies

CloudCyber SecurityETLPandasPythonScikit-LearnSQLTableauTypeScript

About the role

Key responsibilities & impact

Analyze large-scale cybersecurity and operational datasets, including network logs, authentication data, phishing activity, and threat telemetry
Explore, clean, transform, validate, and prepare complex or imperfect datasets for analysis
Perform data extraction, validation, cleansing, transformation, aggregation, and enrichment using Python/Pandas and SQL
Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making
Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms
Develop automated data pipelines, reporting processes, and analytical workflows to reduce manual tasks and improve data quality and repeatability
Apply statistical and machine learning techniques for anomaly detection, classification, pattern identification, and predictive analytics
Develop and maintain metrics related to cyber activity, authentication trends, phishing events, network activity, and external threats
Collaborate with cybersecurity analysts, engineers, stakeholders, and program leadership to translate requirements into analytical solutions and insights
Identify data-quality issues, reporting gaps, inconsistencies, and process-improvement opportunities
Document data sources, transformation logic, analytical methodologies, business rules, and reporting processes
Support ad hoc analytical requests and emerging operational requirements

Requirements

What you’ll need

Bachelor’s degree and a minimum of 9 years of relevant experience; 7 years with a master’s degree; or 4 years with a PhD
An additional four years of relevant experience may be substituted in lieu of the bachelor’s degree requirement
Minimum 2 years of hands-on programming experience, preferably using Python and/or SQL
Demonstrated experience performing data analysis, including data preparation, validation, transformation, and exploratory analysis
Demonstrated ability to independently work with complex or imperfect datasets and determine appropriate preparation methods based on the analytical objective
Experience developing dashboards and reports using Power BI, Tableau, or similar visualization platforms
Foundational knowledge of cybersecurity concepts and/or network and host telemetry
Ability to communicate analytical findings clearly to both technical and non-technical audiences
U.S. citizenship required
Active Top Secret security clearance with the ability to obtain TS/SCI
Must possess or be able to obtain one of the following certifications before the start date and maintain it as a condition of employment: CASP+/SecurityX, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP
Security+ certification preferred
Preferred experience with Python, Pandas, and SQL; cybersecurity operations, threat analysis, security monitoring, or cyber-related analytics; large-scale operational, security, or telemetry datasets; automated reporting pipelines, ETL/ELT processes, reusable analytical workflows; data visualization; statistical analysis; supervised or unsupervised machine learning; scikit-learn; feature engineering; model validation; performance evaluation; and collaborative analytical environments

Benefits

Comp & perks

Potential eligibility for overtime
Potential eligibility for shift differential
Potential eligibility for a discretionary bonus