Revenue Cycle/Coding Analyst
Medstar Health
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United States · Posted November 5, 2026
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About the job
About the Job
General Summary of Position The Coding Revenue Cycle Data Analyst is responsible for analyzing interpreting and reporting on revenue cycle performance data to support operational efficiency financial optimization regulatory compliance and strategic decision-making across the organization. This role partners closely with Revenue Cycle Operations Coding CDI HIM Revenue Integrity Quality to identify trends monitor coding performance support auditing activities and improve documentation and coding outcomes.
Primary Duties and Responsibilities
Contributes to the achievement of established department goals and objectives and adheres to department policies procedures quality standards and safety standards. Complies with governmental and accreditation regulations.
Validates data integrity across reporting systems and ensures accuracy consistency and reliability of all coding-related data outputs.
Analyzes coding accuracy productivity reimbursement and quality performance metrics.
Monitors and trends coding-related KPIs including: DNFB (Discharged not final billed); denial trends coding productivity and accuracy audit findings DRG shifts case Mix Index severity of illness (SOI) Risk of Mortality (ROM) query rates and outcomes coding turnaround times physician documentation trends CC/MCC capture rates and quality measure impacts.
Develops and maintains coding dashboards scorecards operational reports and executive reporting tools to support leadership decision-making & department stakeholders.
Creates visualizations and dashboards using business intelligence tools such as: Power BI Tableau Epic reporting tools Solventum reporting tools and Excel.
Utilizes advanced analytics to forecast trends identify risk areas and support proactive operational planning.
Identifies coding trends documentation gaps compliance risks and opportunities for operational improvement.
Supports internal and external coding audit programs through data collection analysis and reporting.
Supports denial prevention and recovery initiatives by performing root cause analysis related to coding denials reimbursement variances and audit findings.
Participates in revenue cycle optimization projects and system implementations.
Analyzes the impact of coding and documentation on reimbursement quality scores and public reporting metrics.
Participates in multi-disciplinary quality and service improvement teams.
Minimal Qualifications Education
Bachelor's degree in Health Information Management; Healthcare Administration; Data Analytics; Business Administration; Health Informatics; Finance required and
Master's degree preferred
Experience
3-4 years Healthcare coding, HIM, CDI revenue cycle analytics required and
1-2 years Inpatient and/or outpatient coding operations required and
1-2 years Coding audits quality reviews and reimbursement analytics required and
1-2 years Working with healthcare data systems and reporting platforms required
Licenses and Certifications
CCS (Certified Coding Specialist) preferred or
CPC (Certified Professional Coder) preferred or
RHIA (Registered Health Information Administrator) preferred or
CRCR (Certified Revenue Cycle Representative) preferred or
CHFP (Certified Healthcare Financial Professional) preferred
Knowledge Skills and Abilities
Excellent verbal and written communication skills.
Excellent computer skills required.
Clinical system software skills (e.g. Solventum electronic medical record).
Strong knowledge of Outpatient Payment and regulatory systems.
Strong knowledge of MS-DRG and APR-DRG methodologies
Strong knowledge of ICD-10-CM/PCS
Strong knowledge of CPT/HCPCS coding
Strong knowledge of medical necessity
Strong knowledge of quality reporting programs
Strong analytical and critical thinking skills
Ability to interpret complex coding reimbursement and quality data.
Excellent organizational and problem-solving abilities.
Ability to work independently and collaboratively in a fast-paced healthcare environment.
Attention to detail and commitment to data accuracy.
This position has a hiring range of
USD $71,843.00 - USD $135,907.00 /Yr.
General Summary of Position The Coding Revenue Cycle Data Analyst is responsible for analyzing interpreting and reporting on revenue cycle performance data to support operational efficiency financial optimization regulatory compliance and strategic decision-making across the organization. This role partners closely with Revenue Cycle Operations Coding CDI HIM Revenue Integrity Quality to identify trends monitor coding performance support auditing activities and improve documentation and coding outcomes.
Primary Duties and Responsibilities
Contributes to the achievement of established department goals and objectives and adheres to department policies procedures quality standards and safety standards. Complies with governmental and accreditation regulations.
Validates data integrity across reporting systems and ensures accuracy consistency and reliability of all coding-related data outputs.
Analyzes coding accuracy productivity reimbursement and quality performance metrics.
Monitors and trends coding-related KPIs including: DNFB (Discharged not final billed); denial trends coding productivity and accuracy audit findings DRG shifts case Mix Index severity of illness (SOI) Risk of Mortality (ROM) query rates and outcomes coding turnaround times physician documentation trends CC/MCC capture rates and quality measure impacts.
Develops and maintains coding dashboards scorecards operational reports and executive reporting tools to support leadership decision-making & department stakeholders.
Creates visualizations and dashboards using business intelligence tools such as: Power BI Tableau Epic reporting tools Solventum reporting tools and Excel.
Utilizes advanced analytics to forecast trends identify risk areas and support proactive operational planning.
Identifies coding trends documentation gaps compliance risks and opportunities for operational improvement.
Supports internal and external coding audit programs through data collection analysis and reporting.
Supports denial prevention and recovery initiatives by performing root cause analysis related to coding denials reimbursement variances and audit findings.
Participates in revenue cycle optimization projects and system implementations.
Analyzes the impact of coding and documentation on reimbursement quality scores and public reporting metrics.
Participates in multi-disciplinary quality and service improvement teams.
Minimal Qualifications Education
Bachelor's degree in Health Information Management; Healthcare Administration; Data Analytics; Business Administration; Health Informatics; Finance required and
Master's degree preferred
Experience
3-4 years Healthcare coding, HIM, CDI revenue cycle analytics required and
1-2 years Inpatient and/or outpatient coding operations required and
1-2 years Coding audits quality reviews and reimbursement analytics required and
1-2 years Working with healthcare data systems and reporting platforms required
Licenses and Certifications
CCS (Certified Coding Specialist) preferred or
CPC (Certified Professional Coder) preferred or
RHIA (Registered Health Information Administrator) preferred or
CRCR (Certified Revenue Cycle Representative) preferred or
CHFP (Certified Healthcare Financial Professional) preferred
Knowledge Skills and Abilities
Excellent verbal and written communication skills.
Excellent computer skills required.
Clinical system software skills (e.g. Solventum electronic medical record).
Strong knowledge of Outpatient Payment and regulatory systems.
Strong knowledge of MS-DRG and APR-DRG methodologies
Strong knowledge of ICD-10-CM/PCS
Strong knowledge of CPT/HCPCS coding
Strong knowledge of medical necessity
Strong knowledge of quality reporting programs
Strong analytical and critical thinking skills
Ability to interpret complex coding reimbursement and quality data.
Excellent organizational and problem-solving abilities.
Ability to work independently and collaboratively in a fast-paced healthcare environment.
Attention to detail and commitment to data accuracy.