{"id":1471770,"url":"https://alion.io/job/peraton-data-analyst-cyber-analytics","title":"Data Analyst- Cyber Analytics","company":{"id":722,"name":"Peraton","domain":"peraton.com","url":"https://alion.io/company/peraton","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Security","role_family":"Security","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":296000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":255},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Scikit-learn","optional":true}],"status":"live","first_seen_at":"2026-09-29T16:27:44Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-04T22:21:28Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Responsibilities\nPeraton is seeking an experienced Data Analyst- Cyber Analytics professional to support our Federal Strategic Cyber (FSC) Program within the Cyber & Intelligence Sector.\nLocation: On-site in Arlington, VA.Hybrid schedule.1 day per week after a 90-day probationary period.\nIn this role, you’ll work with large-scale cybersecurity and operational datasets to uncover trends, identify emerging threats, and deliver actionable insights that support mission-critical decisions. You’ll collaborate with cybersecurity engineers, threat analysts, and program leadership to transform complex and often imperfect data into meaningful intelligence that strengthens national security operations.\nThis is an excellent opportunity for an experienced data professional who enjoys combining data analytics, Python/SQL development, automation, visualization, and applied data science to solve real-world challenges in a high-impact federal environment.\nWhat You’ll Do\nAnalyze large-scale cybersecurity and operational datasets, including network logs, authentication data, phishing activity, and threat telemetry, to identify trends, anomalies, patterns, and emerging risks.\nIndependently explore, clean, transform, validate, and prepare complex or imperfect datasets for analysis based on project and analytical requirements.\nPerform data extraction, validation, cleansing, transformation, aggregation, and enrichment using Python/Pandas and SQL.\nConduct exploratory data analysis (EDA) to support operational monitoring, situational awareness, and decision-making.\nDevelop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms.\nDevelop automated data pipelines, reporting processes, and analytical workflows to reduce repetitive manual tasks and improve data quality and repeatability.\nApply statistical and machine learning techniques, where appropriate, to support anomaly detection, classification, pattern identification, and predictive analytics.\nDevelop and maintain metrics related to cyber activity, authentication trends, phishing events, network activity, and external threats.\nCollaborate with cybersecurity analysts, engineers, and stakeholders to translate business and operational requirements into analytical solutions and data-driven insights.\nIdentify data-quality issues, reporting gaps, inconsistencies, and opportunities for process improvement.\nDocument data sources, transformation logic, analytical methodologies, business rules, and reporting processes to support transparency and repeatability.\nSupport ad hoc analytical requests and emerging operational requirements.\nQualifications\nMinimum Requirements\nBachelor’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.\n\nMinimum 2 years of hands-on programming experience, preferably using Python and/or SQL.\nDemonstrated experience performing data analysis, including data preparation, validation, transformation, and exploratory analysis.\nDemonstrated ability to independently work with complex or imperfect datasets and determine appropriate preparation methods based on the analytical objective.\nExperience developing dashboards and reports using Power BI, Tableau, or similar visualization platforms.\nFoundational knowledge of cybersecurity concepts and/or network and host telemetry.\nAbility to communicate analytical findings clearly to both technical and non-technical audiences.\nU.S. citizenship required.\nActive Top Secret security clearance with the ability to obtain TS/SCI.\nMust possess or be able to obtain one of the following certifications before the start date and maintain it as a condition of employment:CASP+/SecurityXCCNP SecurityCEHCFRCHFICISACISSP (or Associate)Cloud+CNDCySA+ GCEDGCIHGICSPSSCP\n\nPreferred Qualifications\nStrong hands-on experience with Python, Pandas, and SQL for data transformation, automation, and analytics.\nSecurity+ certification\nExperience supporting cybersecurity operations, threat analysis, security monitoring, or cyber-related analytics.\nExperience working with large-scale operational, security, or telemetry datasets.\nExperience developing automated reporting pipelines, ETL/ELT processes, or reusable analytical workflows.\nExperience using data visualization to support leadership reporting and operational decision-making.\nExperience with statistical analysis and supervised or unsupervised machine learning.\nExperience developing and evaluating machine learning models using Python libraries such as scikit-learn, including feature engineering, model validation, and performance evaluation.\nExperience working in collaborative analytical environments where requirements evolve based on operational needs.\nPeraton Overview\nPeraton 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, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\nTarget Salary Range\n$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEO\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","description_format":"text","description_chars":6326,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","Information Security","Homeland Security"],"lifecycle":[{"event":"open","at":"2026-09-29T16:27:44Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.837,"p_room":0.75,"age_days":4,"expected_fill_days":6,"reasons":["conf:1","velocity","win:late","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/peraton-data-analyst-cyber-analytics","json_url":"https://alion.io/job/peraton-data-analyst-cyber-analytics.json","meta":{"generated_at":"2026-10-05T00:15:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":217,"day_limit":5000,"remaining_today":4783,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}