DOT Senior Business Analyst

Savan • Vienna, VA

1d • Hybrid

About The Position

Savan is seeking a Senior Business Analyst / Financial Data Analyst to support the Department of Transportation’s National Highway Traffic Safety Administration (NHTSA) DATA Act program. This is a client-facing role supporting federal data transparency, financial reporting, and analytics initiatives. The ideal candidate has experience working with federal financial or DATA Act reporting, is comfortable engaging senior government stakeholders, and can operate at the intersection of business, data, and technical teams.

Requirements

• Minimum of 5 years of relevant experience in business analysis, financial data analysis, or DATA Act–related work
• Experience supporting federal clients, preferably within DOT or DATA Act environments
• Strong understanding of financial data, reporting, and compliance frameworks
• Proficiency in Python for data analysis and scripting
• Experience building dashboards and visualizations in Power BI (or similar tools)
• Ability to troubleshoot data and code issues independently
• Familiarity with cloud-based tools and environments (e.g., Google Workspace, Google Cloud Platform is a plus)
• Strong written and verbal communication skills

Nice To Haves

• Experience with the Department of Transportation
• Demonstrated experience working with federal customers on IT, data, or financial management projects.
• Hands-on experience with Python for data manipulation, validation, and/or automation scripting.
• Experience with data visualization and reporting tools (e.g., Power BI, Tableau, or similar).
• Strong written and verbal communication skills, including experience producing executive-ready presentations and documentation.

Responsibilities

• Serve as a liaison between NHTSA program staff and technical teams to translate business needs into actionable data and reporting solutions
• Gather, document, and validate business and technical requirements
• Support DATA Act reporting, financial data analysis, and data quality validation efforts
• Write, troubleshoot, and maintain Python scripts for data manipulation, validation, and automation
• Develop dashboards and data visualizations using tools such as Power BI to communicate insights to leadership
• Analyze large financial datasets to identify discrepancies, trends, and reporting issues
• Support development and implementation of data governance and reporting processes
• Contribute to deliverables including briefings, status reports, user guides, and process documentation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees