Data Analyst- Cyber Analytics

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

Location: On-site in Arlington VA.Hybrid schedule.1 day per week after a 90-day probationary period.

In this role youll work with large-scale cybersecurity and operational datasets to uncover trends identify emerging threats and deliver actionable insights that support mission-critical decisions. Youll collaborate with cybersecurity engineers threat analysts and program leadership to transform complex and often imperfect data into meaningful intelligence that strengthens national security operations.

This 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.

What Youll Do

• Analyze large-scale cybersecurity and operational datasets including network logs authentication data phishing activity and threat telemetry to identify trends anomalies patterns and emerging risks.
• Independently explore clean transform validate and prepare complex or imperfect datasets for analysis based on project and analytical requirements.
• Perform data extraction validation cleansing transformation aggregation and enrichment using Python/Pandas and SQL.
• Conduct exploratory data analysis (EDA) 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 repetitive manual tasks and improve data quality and repeatability.
• Apply statistical and machine learning techniques where appropriate to support 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 and stakeholders to translate business and operational requirements into analytical solutions and data-driven insights.
• Identify data-quality issues reporting gaps inconsistencies and opportunities for process improvement.
• Document data sources transformation logic analytical methodologies business rules and reporting processes to support transparency and repeatability.
• Support ad hoc analytical requests and emerging operational requirements.

Minimum Requirements

• Bachelors degree and a minimum of 9 years of relevant experience; 7 years with a masters degree; or 4 years with a PhD.
  • An additional four years of relevant experience may be substituted in lieu of the bachelors 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
    

Preferred Qualifications

• Strong hands-on experience with Python Pandas and SQL for data transformation automation and analytics.
• Security certification
• Experience supporting cybersecurity operations threat analysis security monitoring or cyber-related analytics.
• Experience working with large-scale operational security or telemetry datasets.
• Experience developing automated reporting pipelines ETL/ELT processes or reusable analytical workflows.
• Experience using data visualization to support leadership reporting and operational decision-making.
• Experience with statistical analysis and supervised or unsupervised machine learning.
• Experience developing and evaluating machine learning models using Python libraries such as scikit-learn including feature engineering model validation and performance evaluation.
• Experience working in collaborative analytical environments where requirements evolve based on operational needs.

Peraton 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 worlds 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 cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.