Job Type
Full-time
Description
Pueo is seeking a Zero Trust (ZT) Data Analyst to join our unique team of multidisciplined experts onsite in McLean, VA., or Reston, VA., supporting the CIO Zero Trust program.
In this role, you will be responsible for working with program, technical, architecture, finance, and mission stakeholders to turn fragmented program data, technical inputs, metrics, and reporting requirements into accurate, decision-ready products. Additionally, you will be responsible for developing and maintaining dashboards, trackers, data models, briefings, and recurring reports that provide visibility into Zero Trust initiatives, capability progress, dependencies, gaps, funding, risks, and outcomes.
The Zero Trust Data Analyst will be responsible for the following, but not limited to:
- Support Zero Trust maturity assessments, capability mapping, pillar reporting, milestone tracking, and leadership decision support using quantitative and qualitative data.
- Support 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.
- 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 Zero Trust implementation data to identify trends, gaps, dependencies, blockers, risks, ownership issues, schedule impacts, and opportunities for improved execution.
- Build and maintain dashboards, scorecards, charts, briefing visuals, status reports, and executive-ready summaries that communicate program performance, maturity, and risk posture.
- 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, and 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.
Requirements
Minimum Required Qualification: - Must have a current/active TS/SCI with the ability to obtain and maintain a CI Poly.
- Bachelor's degree in data Analytics, data science, statistics, mathematics, computer science, information systems, business analytics, or a related discipline and 12 years of work experience. Work experience must include a minimum of 4 years performing data analysis, reporting, dashboard development, metrics tracking, business intelligence, or program analysis.
- 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.
- 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 data sources and artifacts such as project trackers, risk registers, requirements, architecture inventories, implementation schedules, data calls, and governance records.
- Strong analytical, problem-solving, data validation, and data reconciliation skills.
- Strong technical writing and briefing skills, including the ability to summarize complex data, assumptions, trends, gaps, and risks for technical and non-technical audiences.
- Proficiency with Tableau, Python, SQL, as well as 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.
- 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 elevate risks or inconsistencies appropriately.
Desired Qualifications: - An active Top Secret security clearance with SCI eligibility and current CI poly.
- Tableau Desktop Specialist, Tableau Certified Data Analyst, Tableau Certified Consultant, Microsoft Excel Expert, Certified Analytics Professional, data analytics, or visualization-related credentials is highly preferred.
- Experience supporting federal, DoD, IC, cybersecurity, enterprise IT, Zero Trust, or large-scale modernization programs preferred.
Salary Range Estimate: Min $103,209 - Max $165,872. The estimate displayed represents the typical salary range for this position and is just one component of Pueo's total compensation package for employees. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Pueo provides a variety of benefits to employees.
