Data Analytics & Visualization Engineer - TS/SCI Polygraph
Listed on 2026-01-19
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Req : RQ212982
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph
Public Trust/Other
Required:
None
Job Family: Data Science and Data Engineering
Skills:
Data Analytics,Data Modeling,Data Visualization,Structured Query Language (SQL),Tableau Dashboard Development
Experience:
8 + years of related experience
US Citizenship
Required:
Yes
Job DescriptionAs 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.
- 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 performance insights.
- Partner with analytics and 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 data integrity.
- Education: Bachelor’s degree in Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience
, OR 5+ years of relevant experience in data analytics, visualization, or analytics engineering in lieu of a degree. - Clearance: Active TS/SCI with Polygraph
- Experience developing data pipelines and analytics workflows using Python or similar modern analytics languages.
- Strong proficiency in SQL and data modeling to support analytical and visualization use cases.
- Hands‑on experience developing visual analytics and dashboards
, with demonstrated proficiency in Tableau
. - Experience designing dashboards for operational monitoring, trend analysis, and executive reporting
. - Strong communication skills, with the ability to clearly explain analytical findings and visualization design decisions.
- Analytical mindset with attention to data quality, consistency, and interpretability.
- 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 API‑based data ingestion and integration.
- Familiarity with cloud platforms such as AWS, Azure, or GCP
. - Optional experience with containerized environments (e.g., Docker).
- Experience working in Agile environments using tools such as Git Lab, Git, and CI/CD pipelines.
- Knowledge of open‑source analytics and visualization ecosystems.
- Growth: AI‑powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Community: Award‑winning culture of…
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