Data Analyst
October 23, 202510396 FP&A and Data Analytics Associate – HYBRID
The FP&A and Data Analytics Associate will support financial planning, M&A analytics, and the build out of our data infrastructure across our specialty healthcare businesses. You’ll split time between core FP&A and data functions and supporting our M&A pipeline with data analysis and target evaluation.
Job Description
FP&A (60%)
· Support Controller with monthly financial reporting, variance analysis, and forecasting
· Build and maintain financial models and ad hoc analysis for business unit performance, payor contracting, and procurement
· Deploy and optimize NetSuite budgeting and planning tools
· Partner with operations on P&L analysis and margin improvement initiatives
· Support quarterly board reporting and annual budgeting process
M&A & Analytics Support (40% maximum, flexing with M&A pipeline activity)
· Support financial due diligence and quality of earnings / financial due diligence / ad hoc analysis on acquisition targets
· Build financial models for deal evaluation
· Support integration planning for the finance and accounting functions
· Support post-acquisition integration and synergy tracking
· Develop dashboards and analytics to monitor post-close performance
Infrastructure Development
· Support IT and data analytics teams building BI dashboards and reporting infrastructure (Tableau)
· Design KPI frameworks for specialty pharmacy and infusion operations
· Automate reporting processes and improve data quality
· Partner with IT on system integration and data architecture
Experience
Required
· 3-5 years in healthcare services FP&A, or transaction advisory/QoE with healthcare exposure
· Proficiency with NetSuite or similar ERP/budgeting platforms
· Advanced Excel and financial modeling skills
· Experience with data visualization tools (Tableau, Power BI, etc.)
Preferred
· Understanding of healthcare services economics (reimbursement, payor mix, unit economics)
· Specialty pharmacy or infusion services experience
· Transaction advisory or valuation background
· SQL or other database query experience
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