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Revenue Cycle Analyst

Inova
Virginia, USA
Full-time
Mid · 4+ years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

Job Responsibilities

  • Independently investigates and resolves moderately complex claims, payment discrepancies, denials, underpayments, retractions, or workflow issues across one or more Revenue Cycle functions.
  • Analyzes account- and population-level data to quantify financial exposure, identify patterns, validate root cause, and distinguish isolated errors from systemic issues.
  • Interprets payer policies, plan requirements, claim edits, remittance information, and applicable contract provisions to support resolution and escalation.
  • Determines whether an issue is driven by internal process, documentation or coding gaps, technology configuration, payer behavior, or contract ambiguity and recommend next actions.
  • Builds and maintains recurring reports, issue logs, scorecards, or dashboards that track dollars at risk, aging, recoveries, trends, and resolution status.
  • Translates root cause findings into workflow, education, system, or automation requirements and participate in testing and implementation.
  • Provides peer support, knowledge sharing, and task guidance to Revenue Cycle Associates.
  • Leverages advanced analytic tools to identify trends, root cause analysis and prioritize work
  • Monitors implemented solutions to validate resolution, quantify financial or operational impact.
  • Supports revenue cycle ad-hoc projects.
  • May perform other duties as assigned.

Additional Requirements

  • Experience - 2 years of experience in Revenue Cycle, Finance, Healthcare IT, Healthcare Analytics, Healthcare Operations or relevant experience
  • Education - Bachelor's degree; or Associate degree and 2 years relevant professional experience in addition to the minimum Experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum Experience requirement. Area of study: Business, Finance, Accounting, Economics, Healthcare Administration, Health Information Management, Information Technology, Data Analytics or Related Field

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