Data Analytics & Visualization Engineer - TS/SCI with Polygraph
AI summary of the role
This role focuses on transforming complex data into actionable insights through advanced analytics and Tableau-based dashboards for operational awareness, performance monitoring, and executive decision-making.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, build, and evolve analytics-ready data pipelines (ETL/ELT) supporting scalable reporting and visualization.
- Lead development of advanced Tableau dashboards and visual analytics products for operational and executive audiences.
- Translate complex datasets into clear, intuitive visual stories communicating trends, risks, and performance insights.
- Partner with analytics and engineering teams to operationalize data products into production-ready dashboards.
What you’ll bring
- Active TS/SCI with Polygraph clearance.
- 8+ years of relevant experience, or 5+ years in lieu of a degree.
- Experience developing data pipelines and analytics workflows using Python or similar languages.
- Strong proficiency in SQL and data modeling.
Technologies
Tableau · SQL · Python · ETL · ELT · Power BI · AWS · Azure · GCP · Docker · GitLab · Git
About General Dynamics Information Technology
Builds and runs mission IT, cyber, AI/cloud, C5ISR and health systems for U.S. government, defense and intelligence agencies.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Data Modeling, Data Visualization, Structured Query Language (SQL), Tableau Dashboard Development Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: As a Data Analytics & Visualization Engineer, you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive
More from the job description
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Data Modeling, Data Visualization, Structured Query Language (SQL), Tableau Dashboard Development Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: As a Data Analytics & Visualization Engineer, you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive decision-making. You will: Design, build, and evolve analytics-ready data pipelines (ETL/ELT) that support scalable reporting and visualization use cases, ingesting structured and unstructured data from diverse sources. Lead the development of advanced Tableau dashboards and visual analytics products, emphasizing clarity, usability, and decision support for operational and executive audiences. Translate complex datasets into clear, intuitive visual stories that communicate trends, risks, and p [... source excerpt omitted ...] engineering teams to operationalize data products into production-ready dashboards and reporting workflows. Participate across the full analytics development lifecycle, including requirements gathering, data modeling, dashboard design, testing, deployment, and iterative refinement. Present dashboard insights, trends, and analytical findings to internal customers and leadership, tailoring content for technical and non-technical audiences. Collaborate with design and product teams to implement modern visualization techniques, UX best practices, and interactive analytics. Support and continuously enhance analytics and visualization platforms, ensuring performance, scalability, and d [... source excerpt omitted ...] bility to clearly explain analytical findings and visualization design decisions. Analytical mindset with attention to data quality, consistency, and interpretability. Preferred Qualifications Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement. Power BI experience for dashboard development or cross-platform visualization environments. Tableau or other data visualization certifications. Background in data visualization best practices, UX/UI principles, or visual analytics design. Experience automating analytics workflows and data preparation using Python. Experience with
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