Data Analytics & Visualization Engineer - TS/SCI with Polygraph
About The Position
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 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.
Requirements
- 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.
- 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.
Nice To Haves
- 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 GitLab, Git, and CI/CD pipelines.
- Knowledge of open-source analytics and visualization ecosystems.
Responsibilities
- 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.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full flex work weeks where possible
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
