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Rcm Data Analyst Jobs (NOW HIRING)

Labcorp

Senior RCM Data Analyst

Burlington, NC · On-site

$71K - $90K/yr

Labcorp is Seeking a Senior RCM Data Analyst Work Schedule Full-time, standard business hours with additional hours as needed to support business initiatives and project deliverables. Work Location ...

Labcorp

Senior RCM Data Analyst

Burlington, NC · Hybrid

$71K - $90K/yr

Labcorp is Seeking a Senior RCM Data Analyst Work Schedule Full-time, standard business hours with additional hours as needed to support business initiatives and project deliverables. Work Location ...

Mercor

RCM Analytics Director - AI Tools

New York, NY · Remote

$100/hr

Lead revenue cycle analytics , reporting, and decision-support functions to drive data-driven performance improvement across RCM operations . * Evaluate AI-generated revenue cycle analytics outputs ...

SAGIS PLLC

Data Analyst II

Houston, TX · On-site

You'll report to the Director of Data Architecture within the Innovation Team, but daily you will work closely with our financial analyst and RCM teams to deliver data-driven insights. The ideal ...

Adonis Technology, Inc

Senior Data Scientist

New York, NY · On-site

$225K - $250K/yr

Conduct exploratory data analysis on large-scale claims datasets to identify patterns and anomalies ... Exposure to EHR or RCM data specifically * Familiarity with anomaly detection methods * Familiarity ...

AirPay

Dental RCM Analyst

Manhattan, NY · On-site

$25 - $30/hr

Analyze verification data to identify inconsistencies, trends, or missing information. * Collaborate with the team to refine workflows and improve efficiency in the RCM cycle. * Support EDI setup and ...

Alteva RCM

Financial BI Analyst

Boca Raton, FL

We are seeking a detail-oriented and analytical Financial BI Analyst to join our team. This role is ... data environments and high-volume datasets Preferred Qualifications * Experience with RCM

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Rcm Data Analyst information

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$34K

$82.6K

$136K

How much do rcm data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for rcm data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does an RCM Data Analyst typically collaborate with billing and clinical teams to improve revenue cycle processes?

As an RCM Data Analyst, you'll work closely with billing and clinical teams to identify process inefficiencies and recommend actionable improvements. This often involves analyzing billing data, claim denial rates, and payment trends, then presenting findings in clear, accessible formats. Effective collaboration requires strong communication skills, as you'll translate complex data insights into practical recommendations that both clinical and administrative staff can implement. Regular meetings and cross-functional projects are common, fostering a team-oriented environment focused on optimizing the revenue cycle.

What are the key skills and qualifications needed to thrive as an RCM Data Analyst, and why are they important?

To thrive as an RCM (Revenue Cycle Management) Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in finance, healthcare administration, or a related field. Familiarity with data analysis tools such as SQL, Excel, and specialized RCM or EHR systems like Epic or Cerner is typically required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for delivering actionable insights and collaborating with cross-functional teams. These skills ensure accurate analysis of revenue cycles, support process improvements, and help healthcare organizations optimize financial performance.

What is an RCM Data Analyst?

RCM Data Analysts are professionals who specialize in analyzing data related to Revenue Cycle Management (RCM) within healthcare organizations. They are responsible for examining financial, billing, and operational data to identify trends, improve revenue processes, and ensure accuracy in billing and collections. Their work helps healthcare providers optimize reimbursement, reduce claim denials, and improve overall financial performance. RCM Data Analysts typically use data analytics tools and collaborate with billing, coding, and finance teams to support organizational goals.

What is the difference between Rcm Data Analyst vs Rcm Data Analyst?

AspectRcm Data AnalystRcm Data Analyst
Required CredentialsBachelor's in Healthcare, Data Analysis, or related field; certifications like CPC or RHIT beneficialBachelor's in Healthcare, Data Analysis, or related field; certifications like CPC or RHIT beneficial
Work EnvironmentHealthcare facilities, billing companies, or revenue cycle management firmsHealthcare revenue cycle settings, insurance companies, or billing departments
Employer & Industry UsageUsed by healthcare providers and revenue cycle companies to analyze billing and collections dataUtilized by healthcare organizations to optimize revenue cycle processes and improve financial performance

Both roles focus on analyzing revenue cycle data within healthcare, requiring similar credentials and working environments. The primary difference lies in specific job responsibilities or employer terminology, but generally, they are used interchangeably in the industry.

More about Rcm Data Analyst jobs
What cities are hiring for Rcm Data Analyst jobs? Cities with the most Rcm Data Analyst job openings:
What states have the most Rcm Data Analyst jobs? States with the most job openings for Rcm Data Analyst jobs include:
What job categories do people searching Rcm Data Analyst jobs look for? The top searched job categories for Rcm Data Analyst jobs are:
Rcm Data Analyst jobs near you
Infographic showing various Rcm Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior RCM Data Analyst

Labcorp

Burlington, NC • On-site

$71K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,137 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories

Job description

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.
Labcorp is Seeking a Senior RCM Data Analyst
Work Schedule
Full-time, standard business hours with additional hours as needed to support business initiatives and project deliverables.
Work Location
This hybrid position offers a balanced schedule of three in-office workdays at our Burlington or Durham, NC locations and two remote workdays per week, supporting both collaboration and flexibility.
Job Responsibilities
Data Analysis & Research
  • Develop and execute large-scale analytical studies utilizing claim-level, laboratory, billing, and reimbursement data to support Revenue Cycle Management (RCM) initiatives.
  • Analyze claim lifecycle data from order entry through post-adjudication activities to identify reimbursement opportunities, process gaps, and revenue optimization strategies.
  • Locate, validate, integrate, and analyze data from multiple systems and sources, including laboratory systems, billing platforms, payer transactions, government policies, and internal databases.
  • Apply payer policy requirements, reimbursement guidelines, and claim transaction data to identify trends impacting claim outcomes and payment performance.
  • Perform statistical sampling, predictive modeling, and trend analysis to support operational decision-making and risk mitigation efforts.

Reporting & Business Insights
  • Locate, validate and analyze data using SAS, SQL, Access, VBA and Tableau and other reporting tools.
  • Translate analytical findings into actionable recommendations that support process improvements, reimbursement optimization, and revenue protection initiatives.
  • Create monitoring models and alerting mechanisms to identify process deviations, reimbursement risks, and system performance issues.
  • Deliver analysis and reporting that supports business prioritization, operational improvements, and strategic initiatives.

Systems Controls & Business Rules
  • Support system control research and monitoring efforts to reduce revenue leakage and improve reimbursement outcomes.
  • Evaluate system workflows, payer policies, and claim processing rules to identify opportunities for technology enhancements and business rule modifications.
  • Recommend and support development of business rules associated with system changes, automation efforts, and revenue cycle technologies.
  • Conduct testing and validation activities associated with system enhancements and process modifications.

Industry & Organizational Support
  • Support RCM Policy initiatives related to payer engagement, acquisitions, industry workgroups, and reimbursement process improvements.
  • Develop analyses utilizing industry-standard data sources to support business solution initiatives and payer-related projects.
  • Participate in cross-functional discussions regarding reimbursement policies, claim processing strategies, and operational initiatives.

Minimum Qualifications
  • Bachelor's degree in Statistics, Mathematics, Informatics, Computer Science, Information Systems, or a closely aligned quantitative field with 6 or more years of experience; with
  • 5 or more years of experience performing data analytics within healthcare, revenue cycle management, reimbursement, payer operations, laboratory services, or billing environments.
  • 5 or more years of experience using SQL for querying, data validation, transformation, and analysis of large datasets.
  • 3 or more years of experience utilizing SAS for statistical analysis, data management, and reporting.

Preferred Qualifications
  • Master's degree in Statistics, Mathematics, Informatics, Computer Science, Information Systems, or a closely aligned quantitative field with 4 or more years of experience.
  • 7 or more years of experience performing advanced healthcare, reimbursement, or revenue cycle analytics.
  • 5 or more years of experience analyzing payer policy requirements, claim adjudication processes, and healthcare reimbursement transactions.
  • 2 or more years of experience working with laboratory information systems, billing systems, or healthcare claims processing platforms.

Additional Job Standards
  • Experience supporting revenue cycle optimization, denial reduction, reimbursement improvement, or revenue integrity initiatives.
  • Experience developing predictive analytics, statistical models, or anomaly detection solutions.
  • Experience performing statistical sampling, modeling, forecasting, or trend analysis.
  • Experience analyzing claim-level healthcare, laboratory, billing, reimbursement, or adjudication data.
  • Experience developing business rules, system controls, monitoring models, or automated alerting processes.
  • Experience integrating and validating data from multiple operational and transactional systems.
  • Experience supporting healthcare acquisitions, payer initiatives, or industry workgroup projects through analytics and reporting.
  • Experience utilizing Microsoft Excel and VBA for automation, reporting, and data analysis.
  • Demonstrate effective communication of analytical findings to business, operational, and leadership stakeholders.
  • Collaborate with cross-functional teams to support strategic business objectives and operational initiatives.
  • Apply critical thinking, curiosity, and problem-solving approaches when evaluating complex business and reimbursement challenges.
  • Contribute to team discussions and facilitate knowledge sharing related to analytical methods, processes, and best practices.
  • Present complex analytical findings in a manner that supports organizational decision-making and change management efforts.
  • Support team development through mentoring, knowledge transfer, and sharing of analytical techniques.
  • Maintain attention to detail while validating data accuracy, analytical methodologies, and reporting outputs.
  • Demonstrate knowledge of healthcare reimbursement processes, payer policies, claim lifecycles, and revenue cycle operations.

About the Role
The Senior RCM Data Analyst supports Revenue Cycle Management initiatives through advanced data analytics, reimbursement research, and operational insights. This role combines data from laboratory, billing, claims, payer, and policy sources to identify opportunities that improve reimbursement outcomes, reduce revenue leakage, and enhance system performance. The position partners with business leaders and cross-functional teams to deliver analytical solutions, influence process improvements, and support strategic revenue cycle initiatives through data-driven decision making.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
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