Zero Trust Data Analyst

Pueo Business Solutions LLC•McLean, VA

About The Position

The Zero Trust Data Analyst supports the CIO Zero Trust program by collecting, validating, analyzing, and reporting data used for program decisions, maturity assessments, performance tracking, risk identification, and implementation planning. This mid-level role collaborates with program, technical, architecture, finance, and mission stakeholders to turn fragmented program data, technical inputs, metrics, and reporting requirements into accurate, decision-ready products. The analyst develops and maintains dashboards, trackers, data models, briefings, and recurring reports that provide visibility into Zero Trust initiatives, capability progress, dependencies, gaps, funding, risks, and outcomes. The role supports data calls, governance reviews, leadership updates, and audit or compliance responses while ensuring data is traceable, appropriately sourced, consistently defined, and protected in accordance with security requirements. Pueo describes a workforce environment focused on career development and independence, with four career environments—Program, Functional, Service, and Leadership—and small teams called Pods, generally consisting of five or fewer people, that support mentorship and peer collaboration.

Requirements

Bachelor’s degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, or a related discipline.
Minimum of 12 years of work experience, including at least 4 years performing data analysis, reporting, dashboard development, metrics tracking, business intelligence, or program analysis.
Active Top Secret clearance at minimum.
Working knowledge of data analysis methods, data quality management, metric development, dashboarding, reporting, and data visualization practices.
Knowledge of program metrics, maturity tracking, risk reporting, and federal or DoD program reporting environments.
Familiarity with project trackers, risk registers, requirements, architecture inventories, implementation schedules, data calls, and governance records.
Strong analytical, problem-solving, data validation, and data reconciliation skills.
Proficiency with Tableau, Python, SQL, Microsoft Excel, SharePoint, Teams, PowerPoint, and common collaboration or task-tracking tools.
Ability to develop data dictionaries, metric definitions, dashboards, trackers, scorecards, charts, and executive-ready analytic products.
Strong technical writing and briefing skills, including the ability to summarize complex data, assumptions, trends, gaps, and risks for technical and non-technical audiences.
Ability to turn incomplete, inconsistent, or fragmented information into reliable analytic outputs and decision-support products.
Ability to manage multiple reporting cycles, data calls, dashboards, and stakeholder requests under tight deadlines.
Ability to work across technical, program, cybersecurity, architecture, acquisition, finance, and mission teams while protecting sensitive information.
Ability to identify data issues, clarify assumptions, document limitations, and appropriately elevate risks or inconsistencies.
Demonstrated experience collecting, cleaning, validating, reconciling, analyzing, and presenting data from multiple sources in support of leadership reporting or operational decision-making.
Experience developing dashboards, trackers, charts, scorecards, briefing visuals, data dictionaries, metric definitions, or recurring status reports using Tableau, Excel, SharePoint, or similar tools.

Nice To Haves

Experience supporting federal, DoD, IC, cybersecurity, enterprise IT, Zero Trust, or large-scale modernization programs.
Tableau Desktop Specialist, Tableau Certified Data Analyst, Tableau Certified Consultant, Microsoft Excel Expert, Certified Analytics Professional, or other data analytics or visualization-related credentials.

Responsibilities

Collect, clean, validate, reconcile, and maintain program data from authoritative sources, including project trackers, architecture artifacts, requirements, risk registers, data calls, meeting records, implementation plans, and stakeholder inputs.
Develop repeatable data collection methods, templates, data dictionaries, naming conventions, metric definitions, quality checks, and reporting procedures for Zero Trust program data.
Analyze implementation data to identify trends, gaps, dependencies, blockers, risks, ownership issues, schedule impacts, and opportunities to improve execution.
Build and maintain dashboards, scorecards, charts, briefing visuals, status reports, and executive-ready summaries communicating program performance, maturity, and risk posture.
Support Zero Trust maturity assessments, capability mapping, pillar reporting, milestone tracking, and leadership decision support using quantitative and qualitative data.
Coordinate with technical teams, pillar advisors, architects, program managers, governance staff, cybersecurity personnel, and mission stakeholders to gather, clarify, and validate data inputs.
Maintain traceability between reported metrics, source data, assumptions, calculations, responsible owners, reporting periods, and supporting documentation.
Respond to data calls and support recurring reporting requirements by preparing accurate, timely, well-documented responses for program leadership and Government stakeholders.
Perform quality reviews to identify inconsistent, incomplete, outdated, duplicate, or conflicting data and coordinate with data owners to resolve discrepancies.
Recommend improvements to data management, reporting workflows, automation, dashboards, and analytic products to reduce manual effort and improve leadership visibility.