Company Overview
At Amazon, our work is shaped by four core principles: a relentless focus on customers over competitors, a passion for innovation, a dedication to operational excellence, and a commitment to long-term thinking. We thrive on the thrill of creating transformative technologies, developing innovative products, and delivering services that have a meaningful impact on people’s lives.
We welcome experimentation, embrace change, and move quickly—unafraid to take risks and learn from failure. While we operate on a global scale with the resources of a large corporation, we maintain the entrepreneurial spirit and agility of a startup.
Key Responsibilities
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Take ownership of monthly Medicare membership models and reporting, including data extraction, analysis, and manipulation from internal data warehouses and payer/provider portals. Deliver variance analyses and present key insights to leadership.
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Collaborate with finance and business leaders to shape long-term strategic initiatives aimed at enhancing customer satisfaction and experience.
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Work cross-functionally with Business Intelligence, Science, and FinTech teams to develop data-driven reporting tools and implement forecasting solutions based on key performance drivers.
Potential Projects May Include
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Leading membership retention and growth strategies, including maintaining and updating Weekly Business Review (WBR) metrics across the Senior Health (SH) segment.
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Building and refining reconciliation models to ensure accuracy of eligibility data and payment records.
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Supporting core FP&A processes and operational mechanisms.
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Conducting deep-dive modeling on key performance indicators related to value-based care initiatives.
Basic Qualifications
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5+ years of experience in finance, tax, or an analytical role.
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Bachelor’s degree in Finance, Accounting, Economics, Business, or a highly analytical discipline such as Engineering, Mathematics, or Computer Science.
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Alternatively, a Master’s degree with at least 3+ years of relevant finance experience.
Preferred Qualifications
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Advanced degree such as an MBA or CPA certification.
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Working knowledge of SQL or ETL processes.
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6+ years of experience identifying data quality issues, determining root causes, and implementing resolution plans.
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Proven success in solving complex business challenges by building and delivering accurate financial models, analyses, and strategic recommendations with measurable impact.
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Experience using large-scale data tools and financial systems, including SQL, MS Access, Essbase, Cognos, Oracle, SAP, Lawson, and JD Edwards.
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Strong background in budgeting, forecasting, variance analysis, and interpreting financial data to inform business decisions.