Revenue Cycle Optimization Analyst, Healthcare Finance Operations

Revenue Cycle Defect AnalystJoin Amazon Healthcare Finance Operations Services as a Revenue Cycle Defect Analyst focused on identifying, documenting, and validating revenue cycle defects that impact financial performance. In this role, you will serve as a critical individual contributor responsible for defining defects within billing, collections, cash application, and denial management processes. You will hypothesize about potential defects, design and execute experiments to prove their existence and impact, and package findings into structured defect analyses that enable technology and operations teams to implement solutions.Through data-driven analysis and manual review, you will identify patterns among aged receivables, analyze billing and cash receipts reports, and surface trends that contribute to revenue leakage, claim denials, and operational inefficiencies. You will leverage your knowledge of AI-assisted analytics and statistical methods to strengthen the rigor of your findings, ensuring that each defect paper provides clear evidence, quantified impact, and actionable root cause analysis.The ideal candidate brings strong healthcare revenue cycle expertise, demonstrates exceptional analytical capabilities, possesses an eye for detail and process improvement, and has a proven ability to translate complex data into clear, evidence-based documentation. Experience with statistical methods, AI-enabled tools, and a passion for experimentation are highly valued.The Finance Operations organization works with every part of Amazon to provide procure-to-pay, revenue-to-receipt, real-estate and facilities, operations accounting and operations excellence services with the highest level of controllership at the lowest cost to the company. We provide the backbone systems and operational processes which completely, accurately, and validly pay Amazon's suppliers, invoice our customers and report financial results. Amazon is quickly building the Finance Operations capabilities in the healthcare industry by creating the Healthcare Finance Operations Services.Key job responsibilities include identifying and investigating revenue cycle defects across billing, collections, cash application, and denial management processes. Your primary focus will be discovering issues through data analysis, forming hypotheses about root causes, and running targeted experiments to validate your findings before packaging them into structured documentation for stakeholder action.Basic qualifications include 3+ years of tax, finance or a related analytical field experience, 3+ years of healthcare revenue cycle experience within registration, scheduling, billing, cash collection, cash application, or denial management/follow-up, medical billing experience with an understanding of healthcare reimbursement processes, third-party payer guidelines, and compliance requirements, demonstrated ability to analyze processes and information, identify problems and trends, and develop effective solutions and strategies, strong technical writing skills, and ability to work independently, handle multiple tasks, and exhibit problem-solving skills with an exceptional eye for detail.Preferred qualifications include 4+ years of healthcare revenue cycle experience in a hospital or physician provider setting, coursework or applied experience in statistics, experimental design, or quantitative research methods, professional certifications such as CPC (Certified Professional Coder) or CRCR (Certified Revenue Cycle Representative), Certified Coding Associate (CCA), Certified Coding Specialist (CCS), awareness of AI/ML tools and their application to data analysis, pattern recognition, and process automation in revenue cycle contexts, experience writing structured analyses, research papers, or technical documentation that translates complex findings for diverse audiences, extensive knowledge of critical business processes including Coding, Charge Capture, Billing, Collections, Cash Application, Dispute and Denial Management, knowledge of system interfaces with Accounts Receivable and experience identifying incomplete or inaccurate data and determining root causes, experience creating process improvements through analysis and automation, experience with electronic health record systems and clearinghouse platforms.