> Markdown version of [/jobs/ext/1425232-cyber-data-analyst-active-top-secret](https://www.wearedevelopers.com/jobs/ext/1425232-cyber-data-analyst-active-top-secret). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Data Analyst / Active Top Secret - **Company:** Peraton Inc - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $104,000.0 - $166,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Cyber Security, Computer Programming, Data Transformation, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, Operational Data Store, Power BI, Phishing, SQL Databases, Tableau (Software), Cyber Threat Analysis, Pandas, Data Analytics, Data Inconsistencies - **Published:** July 24, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9051936/cyber-data-analyst-active-top-secret ## About the Role * 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 bachelors 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: + CySA+, CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, GCED, GCIH, GICSP, SSCP * Minimum 2 years of coding experience (any programming language). * Minimum 2 years of experience in cybersecurity or data analytics. * Foundational cybersecurity knowledge or foundational understanding of network and host telemetry. * Experience developing dashboards and reports using Power BI, Tableau, or similar tools. * Ability to communicate analytical findings clearly to technical and non-technical audiences. * U.S. citizenship required. * Active Top Secret security clearance with the ability to obtain TS/SCI. Preferred Qualifications: * Two (2) or more years of hands-on experience with Python or SQL. * Experience working with Python/Pandas for data transformation, automation, and analytics. * Experience supporting cybersecurity operations, threat analysis, or security monitoring. * Experience with large-scale operational or cybersecurity datasets. * Experience building automated reporting pipelines or analytics workflows. * Experience using data visualization tools to support leadership reporting and operational decision-making. * Familiarity with supervised and unsupervised machine learning concepts. ## Description Encompasses technical, engineering, data analytics, cyber security, management, operational, logistical, and administrative support for Bureau of Diplomatic Security, Cyber and Technology Security Directorate in three key offices/functional areas: Cyber Monitoring and Operations, Cyber Threat and Investigations, and Technology Innovation and Engineering State., 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. What You'll Do: * 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. ## Related Videos - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Passkeys: Truly Phishing-Resistant? 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