Lead Business Analyst

Job Description:

This Data Analyst position is dedicated to supporting the U.S. Department of Veterans Affairs (VA) under the Enterprise Infrastructure Solutions (EIS) contract. The analyst will play a critical role in delivering data-driven insights that inform strategic decision-making and operational efficiency across VA initiatives. Responsibilities include managing the full data lifecycle—from requirements gathering and system design to advanced analytics and performance reporting—ensuring alignment with federal compliance standards and the VA’s mission to serve veterans. The role requires close collaboration with cross-functional teams and stakeholders to prioritize data needs, optimize processes, and uphold the integrity and quality of mission-critical data systems.

The Main Responsibilities

• Lead full lifecycle data analysis, including requirements gathering, solution design, and development of robust reporting and analytics capabilities.
• Design, implement, and manage databases, data collection systems, and analytical strategies to enhance statistical efficiency and data quality.
• Extract, clean, and maintain data from diverse sources, ensuring accuracy and integrity across systems.
• Apply advanced statistical techniques to interpret complex data sets, identify trends, and deliver actionable insights through ongoing reporting.
• Collaborate with leadership to prioritize business needs and identify opportunities for process optimization and strategic improvements.
• Support data governance initiatives by ensuring compliance with data privacy, security, and quality standards.
• Develop and maintain dashboards and visualization tools to communicate key metrics and performance indicators to stakeholders.
• Partner with cross-functional teams to translate business objectives into data-driven solutions and measurable outcomes.

What We Look For in a Candidate

• Proven experience conducting full lifecycle data analysis, including requirements gathering, solution design, and performance reporting.
• Proficient in sophisticated regression techniques and causal inference methodologies (e.g., differences-in- differences, regression discontinuity).
• Strong command of statistical analysis, data modeling, and visualization tools such as SQL, Python, R, Power BI, or Tableau.
• Demonstrated ability to manage, clean, and optimize large datasets from multiple sources while ensuring data integrity and quality.
• Familiarity with federal data compliance standards, particularly in support of government agencies or healthcare-related programs.
• Experience developing and maintaining dashboards and reporting tools to support executive decision-making.
• Excellent communication and collaboration skills, with the ability to translate technical findings into business-relevant insights.
• U.S. citizenship required; active or ability to obtain a Public Trust preferred.