Financial Analytics Lead

We are seeking a Financial Analytics Lead with deep healthcare analytics expertise to lead valuation, forecasting, methodology development, and analytical decision support. This role centers on financial model ownership for Medicare Advantage and Risk Adjustment programs and provides insights that inform strategic and operational decision-making.

Key Responsibilities

• Lead the development, enhancement, validation, and ongoing performance of forecasting and valuation models.
• Translate Medicare Advantage, Risk Adjustment, operational, and financial requirements into model logic and analytical methodologies.
• Independently write complex SQL to manipulate and analyze data.
• Build and enhance forecasting model assumptions and methodologies.
• Evaluate Medicare Advantage and Risk Adjustment program performance.
• Lead analytical initiatives across multiple stakeholders.
• Influence business decisions without formal authority.

Analytical Leadership & Initiative Ownership

• Lead complex analytical initiatives from problem definition through implementation.
• Define analytical approaches, methodologies, assumptions, and success measures in situations with limited guidance or evolving business requirements.
• Mentor team members, review analytical work products, and promote analytical best practices across the team.
• Drive alignment among stakeholders while balancing competing priorities and business objectives.
• Translate ambiguous business challenges into actionable analytical solutions.
• Own recurring valuation, performance measurement, and reporting processes, ensuring outputs are accurate, scalable, and well documented.

Data Validation & Performance Measurement

• Validate source data, assumptions, calculations, and reporting outputs to ensure analytical accuracy.
• Investigate unexpected trends and analyze root causes.
• Reconcile findings across multiple data sources and methodologies.
• Establish quality control procedures for recurring financial and operational reporting.

Financial Modeling, Forecasting & Analytics

• Independently develop, build, modify, validate, and analyze financial models used to project risk-score-driven revenue, estimate program value, and support forecasting and business decision-making.
• Translate Medicare Advantage risk adjustment methodologies, operational assumptions, emerging business requirements, and source data into financial model logic and analytical frameworks.
• Understand model architecture and calculation logic sufficiently to diagnose unexpected results, trace outcomes to underlying assumptions and data, and determine appropriate methodological or technical changes.
• Evaluate and enhance model assumptions, segmentation, aggregation, projection methodologies, and analytical techniques to improve estimation accuracy and decision usefulness.
• Assess the financial implications of changes in risk score performance, operational results, assumptions, methodology, and other relevant business drivers.
• Partner with business leaders, program owners, and analytical teams to align on objectives, assumptions, methodologies, and recommended actions.

Leadership Communication & Cross-Functional Partnership

• Help leaders and stakeholders understand valuation assumptions, risks, limitations, methodology changes, and performance trends.
• Collaborate closely with Finance, Operations, and Analytics teams while maintaining analytical objectivity and rigor.
• Influence decisions through data, business judgment, trusted stakeholder relationships, and effective communication.

Requirements

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
• 7+ years of progressive experience in healthcare analytics, financial analytics, consulting, strategy, or related analytical disciplines.
• Demonstrated experience developing financial models, valuation methodologies, or forecasting frameworks.
• Experience leading complex analytical initiatives with significant business impact.
• Advanced SQL proficiency with demonstrated ability to independently write, troubleshoot, and optimize complex queries against large relational datasets.
• Advanced financial modeling proficiency with demonstrated ability to independently build, modify, troubleshoot, validate, and analyze complex forecasting and revenue projection models.
• Ability to translate business rules, financial assumptions, analytical methodologies, and changing requirements into model logic implemented through SQL, Excel, or related analytical tools.
• Advanced Excel proficiency, including Pivot Tables, data validation, reconciliation, trend analysis, and synthesis of large datasets into actionable business recommendations.
• Strong understanding of forecasting, statistical analysis, and valuation concepts with the ability to implement enhancements into SQL and Excel models.
• Ability to work across disparate data sources and varying levels of analytical granularity.
• Strong attention to detail and ability to validate assumptions, methodologies, and results.
• Working knowledge of Medicare Advantage and Risk Adjustment methodology, including the ability to evaluate program performance and interpret key drivers of financial outcomes.

Nice to Have

• Experience developing valuation methodologies used to assess strategic initiatives or operational programs.
• Familiarity with predictive modeling, regression analysis, causal inference, machine learning, or other advanced analytical methodologies.
• Experience evaluating program effectiveness and measuring business impact.
• Experience building scalable analytical processes and governance frameworks.
• Experience supporting enterprise transformation, value realization, or strategic investment initiatives.

What Success Looks Like

• Within the first year, successful candidates will:
• Independently assume ownership of complex financial models used to project risk-score-driven revenue, including understanding existing model architecture, validating assumptions and calculations, implementing enhancements, troubleshooting unexpected results, and adapting models as business requirements evolve.
• Challenge assumptions and navigate ambiguity while simultaneously aligning on solutions based on collaboratively shared insights.
• Become a trusted analytical partner to Risk Adjustment and business leadership teams.
• Independently perform complex SQL-based analyses to evaluate program performance and financial outcomes.
• Improve valuation methodologies and forecasting approaches through thoughtful analysis and business partnership.
• Establish confidence in financial reporting through rigorous validation and documentation practices.
• Influence operational decisions by providing actionable insights supported by quantitative evidence.
• Develop sustainable, scalable analytical and reporting processes that reduce manual effort while improving transparency and consistency.