MDVIP: Transforming Primary Care, One Patient at a Time
MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work® since 2018, MDVIP is committed to excellence in patient care and employee satisfaction.
Position Summary
We are looking for a curious, driven, and technically savvy Senior Financial Data Analyst FP & A to supercharge our FP&A organization with accurate, timely, and actionable insights. If you thrive at the intersection of finance, data, and technology — and you love transforming data into meaningful dashboards, automated reports, and decision-ready analytics — this role is for you.
In this position, you will be the data engine behind strategic financial analysis, working closely with FP&A, Accounting, and cross-functional teams to expand our business intelligence, visualization, and reporting capabilities. You’ll help build the tools, systems, and automated processes that elevate how our company measures performance and makes decisions.
Your work will support core FP&A deliverables such as budgeting, forecasting, and management reporting, with exposure to senior leadership as we evolve the drivers and KPIs that steer the business forward.
Key Responsibilities
- Develop, maintain, and automate financial reports, dashboards, and KPIs using tools like Power BI, Power Automate, Claude, and similar AI/automation platforms.
- Prepare weekly/monthly reporting on business trends and performance
- Leverage data manipulation techniques to assist in scenario analysis and multiple views for different audiences
- Enhance data quality and integrity, improving reliability of financial outputs in support of core FP&A processes
- Analyze financial data to identify trends, anomalies, and patterns that inform business decisions
- Assist in selection and implementation of modern EPM platform to support transformation of organizational financial data analysis capabilities
- Collaborate with internal stakeholders to determine requirements and iterate on solutions for reducing manual effort and distraction in data analysis