Revenue Operations Analyst Jobs in Virginia
Revenue Operations Analyst jobs in Virginia are among the most actively recruited in the mid-Atlantic region, with demand concentrated in technology, defense contracting, and federal consulting sectors at levels from entry-level through senior and director. The heaviest hiring activity clusters in Northern Virginia, Richmond, and the Reston-Tysons corridor, where established employers like Booz Allen Hamilton, Leidos, and Capital One have deep revenue operations teams. The most sought-after specialties in Virginia are CRM administration, sales forecasting, and GTM analytics. Find a role that fits below and apply directly.
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Showing 5 of 13+ Revenue Operations Analyst jobs
DESCRIPTION
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
DESCRIPTION
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
See All 13 Revenue Operations Analyst Jobs in Virginia
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Find JobsRevenue Operations Analyst Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Revenue Operations Analyst Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
What Virginia Employers Look For
The qualifications that appear most often in revenue operations analyst jobs across Virginia.
- Bachelor's degree in business, finance, analytics, or a related field required
- Proficiency in Salesforce or a comparable CRM platform strongly preferred
- Experience building reports and dashboards in Tableau, Power BI, or Looker
- Demonstrated ability to support sales forecasting and pipeline analysis processes
- Familiarity with marketing automation tools such as HubSpot or Marketo
- Strong cross-functional collaboration skills working with sales, finance, and marketing teams
Revenue Operations Analyst Jobs in Virginia: Frequently Asked Questions
How do you become a revenue operations analyst in Virginia?
Most revenue operations analyst roles in Virginia require a bachelor's degree in business administration, finance, economics, or a data-related field. There is no state-issued license or Virginia-specific credential for this role. Employers in Northern Virginia and Richmond typically expect candidates to hold Salesforce certifications such as Salesforce Administrator or Salesforce Sales Cloud Consultant, which signal job-readiness. Building proficiency in SQL and a business intelligence tool rounds out a competitive Virginia application.
Which companies hire revenue operations analysts in Virginia?
Employers hiring revenue operations analysts in Virginia right now include Amazon, Augusta Health, and CHESAPEAKE REGIONAL HEALTHCARE, based on current listings on Migrate Mate as of August 2026. Virginia's concentration of defense contractors, federal IT consultancies, and fintech firms means many of these openings sit inside large enterprise environments with structured RevOps teams.
Which Virginia cities have the most revenue operations analyst jobs?
McLean, Arlington, and Chesapeake have the most revenue operations analyst openings in Virginia. Northern Virginia and the Reston-Tysons corridor drive the largest share because of the dense cluster of technology firms, defense contractors, and federal consulting companies headquartered there, while Richmond adds meaningful volume through its fintech and financial services sector anchored by employers like Capital One.
Are there remote revenue operations analyst jobs in Virginia?
Yes, and more than most fields. Revenue operations is a desk-based analytical role that translates well to remote and hybrid arrangements. About 57% of revenue operations analyst openings tied to Virginia are remote or hybrid as of August 2026, reflecting how broadly distributed the employer base has become since the shift to distributed work. The functions most commonly offered remotely are CRM administration, pipeline reporting, and data quality management.
How can I get hired as a revenue operations analyst in Virginia with little or no experience?
The most realistic entry path is a lateral move from a sales development, marketing coordinator, or business analyst role where you already work inside Salesforce or a similar CRM. Large Virginia employers such as Booz Allen Hamilton and Leidos hire associates into operations support rotations that feed into RevOps functions. Completing a Salesforce Administrator certification before applying gives candidates without a direct RevOps title a concrete, verifiable credential that hiring managers in Virginia consistently recognize.
Where can I find and apply to revenue operations analyst jobs in Virginia?
You can find and apply to revenue operations analyst jobs in Virginia on Migrate Mate, which lists current Virginia openings. Find roles that fit your experience and location, and apply directly to each one.
See All 13 Revenue Operations Analyst Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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