Zero Trust Data Analytics Engineer

Responsibilities

The Zero Trust Data Analytics Engineer will lead the effort to engineer the systems required to define, collect, analyze, and report on key metrics related to the operational effectiveness and maturity of the Zero Trust architecture.

• Design and implement a comprehensive data and analytics infrastructure to measure the effectiveness of ZT enablement and track progress towards ZT maturity goals.
• Define Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) that align with the seven pillars of Zero Trust (Identity, Devices, Applications/Workloads, Data, Network/Environment, Automation/Orchestration, Analytics/Visibility).
• Develop, maintain, and automate executive-level dashboards and reports to visualize ZT performance, compliance posture, and risk reduction using data visualization tools (e.g., Power BI, Tableau).
• Utilize advanced data engineering techniques to correlate security data from disparate sources (SIEM, EDR, IAM logs, network data) to identify trends, anomalies, and areas for improvement in ZT policy enforcement.
• Collaborate with ZT architects, security engineers, and compliance teams to ensure data requirements are met and that metrics accurately reflect the operational reality and effectiveness of implemented controls.
• Conduct in-depth analysis and provide actionable recommendations to leadership for optimizing ZT investments, mitigating risks, and accelerating maturity progression.
• Architect and maintain data collection processes and pipelines, ensuring data integrity, accuracy, and adherence to data governance standards.
• Mentor and provide expert guidance to data analysts and security teams on data-driven decision-making and performance measurement methodologies.
• Maintain rigorous and detailed documentation of measurement frameworks, data methodologies, and reporting procedures, strictly adhering to industry standards (e.g., ITIL, NIST).

Qualifications

Bachelor's degree in Data Science, Statistics, Information Systems, or a related quantitative field (or an equivalent combination of education and extensive, directly relevant experience) with 8+ years (or commensurate experience).

Required Skills and Experience

• Minimum 8+ years of progressive, hands-on experience in data analysis, data engineering, business intelligence, or data science, with a minimum of 3 years spent specifically in a senior role measuring IT effectiveness, security posture, or enterprise performance.
• Current DoD 8570 IAT Level II or III certification (e.g., Security+ CE, CySA+, CASP+, CISSP) is mandatory.
• Deep, hands-on expertise in data visualization tools (Power BI required, Tableau, or similar) for creating complex, automated operational and executive dashboards.
• Proven mastery of data analysis languages/tools (SQL required; Python/R for data engineering and statistical analysis preferred) with a track record of developing complex data models and analytical reports.
• Extensive experience with data correlation and aggregation from disparate enterprise systems, including security tools (SIEM, EDR), IT service management platforms (ServiceNow), and identity systems (Azure AD, Active Directory).
• Strong understanding of cybersecurity principles, Zero Trust architecture models (NIST SP 800-207), and compliance frameworks (DoD, FISMA, RMF).
• Exceptional analytical and problem-solving skills, with a demonstrable track record of translating complex technical data into clear, concise, and actionable business insights for senior leadership.
• Strong commitment to data governance, accuracy, and the practical application of IT service management and performance measurement best practices.

Preferred Skills and Experience

• Relevant industry certifications such as Certified Data Management Professional (CDMP), CISSP, CISM, or ITIL Foundation/Intermediate certifications.
• Experience with machine learning or advanced statistical modeling applied to cybersecurity data for predictive analytics.
• Familiarity with ITSM platform administration or configuration for data extraction and reporting (e.g., ServiceNow Performance Analytics module)