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 storiesthat 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.

Required Qualifications

• Education: Bachelors degreein Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience,
  OR
  5+ years of relevant experiencein data analytics, visualization, or analytics engineering in lieu of a degree.
• Clearance: Active TS/SCI with Polygraph
• Experience developing data pipelines and analytics workflowsusing Pythonor similar modern analytics languages.
• Strong proficiency in SQL and data modelingto 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.

Preferred Qualifications

• Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement.
• Power BI experiencefor 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.
• Optionalexperience 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.

GDIT is Your Place:
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• 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 innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.