Revenue Cycle Defect Analyst, Healthcare Finance Operations

Amazon is hiring a Revenue Cycle Defect Analyst, Healthcare Finance Operations in Arlington, United States. It pays $67k-$117k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this finance role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include AI Analytics, healthcare finance and revenue cycle.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Analyze healthcare revenue cycle processes and investigate defects using data-driven and AI-assisted analytics methods.

AI Analytics

healthcare-financerevenue-cycledata-analysisdefect-analysis

Join 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
In this analytical role, you will identify and investigate 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.

- Analyze coding, charge capture, billing, cash receipts, and accounts receivable reports and activities to identify defects, anomalies, and trends that impact revenue, cash flow, and operational efficiency
- Hypothesize about potential defects based on observed patterns, denial trends, and system behaviors, then design and execute experiments (through analytics or manual review) to prove or disprove defect existence and quantify impact
- Package validated defects into structured defect analyses that clearly articulate the problem, evidence, root cause analysis, quantified financial impact, and recommended resolution path for technology and operations stakeholders
- Leverage AI-enabled tools and awareness of emerging AI/ML capabilities to enhance defect detection, automate pattern recognition, and improve the speed and accuracy of analytical workflows
- Apply statistical methods and experimental design principles to ensure rigor in defect validation, including appropriate sampling, significance testing, and data-driven conclusions
- Identify trends and categories among aged receivables, denial patterns, and payer behaviors; provide clear, actionable feedback to stakeholders to improve results and prevent recurrence
- Identify trends and develop insights that ultimately reduce cost and improve revenue lift
- Analyze workflow and operational procedures to identify opportunities for improved reimbursement; document findings and present recommendations to leadership
- Produce clear, well-structured technical writing including defect analyses, root cause analyses, and process documentation that effectively communicates complex findings and processes to both technical and non-technical audiences
- Coordinate cross-functionally to analyze data drivers, develop comprehensive insights, and present clear, actionable findings to key stakeholders including technology teams, operations, and finance
- Contribute to the evaluation of AI initiatives and explore how automation, machine learning, and robotic process automation (RPA) can enhance defect detection and resolution workflows

Basic qualifications

- 3+ years of tax, finance or a related analytical field experience
- Bachelor's degree
- 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 with the ability to clearly document findings, articulate complex issues, and communicate effectively in written form to diverse stakeholders
- Ability to work independently, handle multiple tasks, and exhibit problem-solving skills with an exceptional eye for detail

Preferred qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, VA, Arlington - 66,900.00 - 117,100.00 USD annually

How we rate this

Revenue Cycle Defect Analyst, Healthcare Finance Operations at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Revenue Cycle Defect Analyst, Healthcare Finance Operations is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $67k-$117k a year.
The role is based in US, VA, Arlington.
The job was posted on August 11, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Healthcare FinanceRevenue CycleData AnalysisDefect AnalysisAI Analytics

Also common in finance jobs at this level

SQL Python Generative AI AI agents AWS Snowflake

Pay

This job starts at: $67k
Typical finance job: $105k

This posting starts 36% below the typical finance job. See finance jobs

Questions you could be asked

Tell me about a project where healthcare finance was part of your work. What did you do?
Tell me about a project where revenue cycle was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where defect analysis was part of your work. What did you do?
Walk me through how you've used AI Analytics in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Healthcare Finance, Revenue Cycle, Data Analysis, Defect Analysis, and AI Analytics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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