Data Visualization Specialist

PeratonHerndon, VA
4d

About The Position

We are seeking a highly skilled and innovative Data Visualization Specialist to join our team in the greater DMV area, supporting the Army National Guard. Responsibilities Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms. Architect scalable, high‑performance visualization frameworks with governed semantic models, role‑based security, and optimized refresh/processing strategies. Oversee data preparation, modeling, and validation (ETL/ELT, semantic layers, measures/calculations) to ensure data integrity, lineage, and consistency across reporting assets. Implement interaction design patterns: parameterization, drill‑throughs, bookmarks, paginated reports, and responsive visual layouts for varied user audiences. Establish QA and release management processes for visualization artifacts: testing, performance tuning, refresh orchestration, and defect remediation. Translate strategic objectives into standardized KPIs, governed report templates, and reusable visualization components in collaboration with senior stakeholders. Document architecture, calculation logic, governance controls, and lifecycle processes to support audit readiness and maintainability. Integrate visualizations with analytics pipelines and data governance practices to ensure traceability and compliance. Mentor junior visualization engineers, codify visualization standards, and introduce advanced analytics/visual techniques and automation opportunities. #ENOCS

Requirements

  • Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
  • Clearance: Active TS/SCI clearance.
  • Candidate must meet ONE of the following: Master’s degree or Ph.D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology, Software Engineering, or a related field; OR Relevant DoD/military training (examples: M0923W1; A‑102‑5888; A‑102‑5599 (SNOOP); C‑150‑1401; W‑150‑4575; S‑250‑1095; A‑531‑0022; A‑531‑0009; A‑531‑0045; A‑113‑0381; A‑113‑0342; A‑121‑0594 (P/L); A‑104‑0084; A‑150‑4219 (P/L); A‑150‑9020 (P/L); C‑531‑0038); OR Relevant professional certification or equivalent experience (examples: SecurityX/CASP+, CCNP Security, CCSP, FITSP‑O, GFACT).
  • Data visualization, BI engineering, or analytics platform experience with at least 3 years leading enterprise visualization initiatives.
  • Expert proficiency with Power BI, Tableau, or other enterprise BI platforms, including semantic modeling, DAX/MDX (for Power BI), or equivalent expression languages.
  • Strong data modeling and ETL/ELT skills, familiarity with data warehouses/lakes, and experience ensuring lineage and auditability for analytic outputs.
  • Demonstrated ability to tune performance for large datasets, manage refresh cadence, and implement scalable reporting architectures.
  • Excellent documentation skills for architectures, calculation logic, governance procedures, and audit evidence.
  • Ability to engage senior stakeholders to define KPIs, reporting requirements, and governed delivery roadmaps.

Nice To Haves

  • Prior DoD/ARNG or large‑enterprise visualization program experience.
  • Experience integrating visualizations with advanced analytics (ML outputs), automated report generation, and self‑service analytics enablement.
  • Familiarity with RMF/evidence needs, data governance integration, and secure handling of classified/unclassified reporting environments.

Responsibilities

  • Lead design and delivery of enterprise data visualization solutions (dashboards, analytic apps, executive reports) using Power BI, Tableau, or equivalent BI platforms.
  • Architect scalable, high‑performance visualization frameworks with governed semantic models, role‑based security, and optimized refresh/processing strategies.
  • Oversee data preparation, modeling, and validation (ETL/ELT, semantic layers, measures/calculations) to ensure data integrity, lineage, and consistency across reporting assets.
  • Implement interaction design patterns: parameterization, drill‑throughs, bookmarks, paginated reports, and responsive visual layouts for varied user audiences.
  • Establish QA and release management processes for visualization artifacts: testing, performance tuning, refresh orchestration, and defect remediation.
  • Translate strategic objectives into standardized KPIs, governed report templates, and reusable visualization components in collaboration with senior stakeholders.
  • Document architecture, calculation logic, governance controls, and lifecycle processes to support audit readiness and maintainability.
  • Integrate visualizations with analytics pipelines and data governance practices to ensure traceability and compliance.
  • Mentor junior visualization engineers, codify visualization standards, and introduce advanced analytics/visual techniques and automation opportunities.
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