Remote Revenue Cycle Analyst – Healthcare Ops

Clarvida; Anaheim (CA); Hybrid; USD 85,000 - 95,000; Full time

Benefits offered by this job

Paid vacation days

Sick leave (rolls over)

Holiday pay

Medical, dental, vision insurance

DailyPay access to earnings

Training and growth opportunities

Job summary

Clarvida is seeking a Revenue Cycle Operations Analyst to optimize front-end revenue cycle performance across California programs. You will serve as a subject matter expert in eligibility verification, payer requirements, and financial clearance, driving data-driven improvements.

Collaborate with clinical and operational leaders to reduce billing risks, present findings, and implement KPI dashboards and training on payer processes.

Qualifications

• Bachelor's degree in Healthcare Administration, Business Administration, Finance, Accounting, Analytics, Public Health, or related field.
• Minimum three years in revenue cycle, billing operations, or related analytical experience.
• Experience interpreting Medi-Cal, Medi-Medi, commercial payer, eligibility, and claim readiness requirements.
• Advanced proficiency in Microsoft Excel and reporting tools.

Responsibilities

• Analyze front-end revenue cycle workflows, eligibility verification, and billing readiness across programs.
• Interpret Medi-Cal, Medi-Medi, commercial payer, eligibility and authorization requirements.
• Develop and maintain revenue cycle procedures, controls, and best practices for compliant operations.
• Identify risks and coordinate corrective actions with leadership.
• Review billing errors and trends to identify root causes and improvements.

Skills

Excel proficiency

Data analysis

Payer operations

Analytical thinking

Independent judgment

Education

Bachelor's degree in Healthcare Administration or related field

Tools

IRIS

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Job description

Clarvida is seeking a Revenue Cycle Operations Analyst to optimize front-end revenue cycle performance across California programs. You will serve as a subject matter expert in eligibility verification, payer requirements, and financial clearance, driving data-driven improvements.

Collaborate with clinical and operational leaders to reduce billing risks, present findings, and implement KPI dashboards and training on payer processes.