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 You’ll 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.
Qualifications
Minimum Requirements
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+/SecurityXCCNP SecurityCEHCFRCHFICISACISSP (or Associate)Cloud+CNDCySA+ GCEDGCIHGICSPSSCP
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.
Target Salary Range $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.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
