About The Position

Compass Surgical Partners is seeking a detail-oriented and analytical Analyst, Revenue Cycle Management & Managed Care to support financial and operational performance across its portfolio of ambulatory surgery centers. The analyst works closely with Revenue Cycle Management, Managed Care, Finance, and Corporate Development teams to evaluate reimbursement performance, identify revenue opportunities, monitor payer trends, and turn complex healthcare data into actionable business insights. The role combines healthcare revenue cycle knowledge with advanced analytical skills and an innovation-focused mindset. It involves using technology, automation, and AI-enabled tools to improve analysis and reporting, while validating automated outputs and applying safeguards when handling sensitive financial, payer, or protected healthcare information. The position also supports payer contract evaluation, financial modeling, forecasting, operational performance improvement, and strategic initiatives.

Requirements

  • Bachelor's degree in Finance, Accounting, Healthcare Administration, Business Analytics, Economics, Information Systems, or a related field.
  • Experience in healthcare revenue cycle management, managed care, reimbursement analysis, healthcare finance, or a closely related analytical function.
  • Working knowledge of healthcare revenue cycle processes, including claims, payment posting, denials, collections, and accounts receivable.
  • Understanding of payer reimbursement methodologies, contract rates, and reimbursement variance analysis.
  • Experience analyzing financial or operational data and translating findings into actionable recommendations.
  • Advanced Microsoft Excel skills, including formulas, lookups, pivot tables, data reconciliation, and analysis of large datasets.
  • Strong analytical judgment and attention to detail.
  • Ability to communicate effectively with cross-functional stakeholders.
  • Understanding of healthcare data confidentiality and HIPAA requirements.
  • Experience using AI, automation, business intelligence, or workflow tools to improve analysis and reporting.
  • Ability to evaluate new technologies and apply them thoughtfully to practical business challenges.
  • Sound judgment when validating AI-generated outputs and handling sensitive healthcare information.

Nice To Haves

  • Experience supporting ambulatory surgery centers, hospital outpatient departments, physician practices, or multisite healthcare organizations.
  • Experience with payer contract modeling, fee schedule analysis, reimbursement methodologies, or contract performance evaluation.
  • Experience analyzing accounts receivable, denials, collections, payment variances, or other revenue cycle performance indicators.
  • Familiarity with healthcare financial reporting, forecasting, and dashboard development.

Responsibilities

  • Develop and maintain reporting on revenue cycle performance, including accounts receivable, collections, denials, aging, and reimbursement trends.
  • Identify performance gaps and emerging risks and recommend ways to improve financial outcomes.
  • Analyze denial patterns, payment variances, and collection trends to identify root causes and opportunities for improvement.
  • Monitor key revenue cycle metrics and provide timely insights to operational leadership.
  • Analyze payer contracts, reimbursement rates, fee schedules, and payment methodologies to evaluate financial performance.
  • Identify and quantify reimbursement discrepancies, including underpayments and incorrect contract rate applications.
  • Develop financial models to support payer contract negotiations, renewals, and reimbursement changes.
  • Evaluate payer mix, service line performance, and reimbursement scenarios to inform strategic decisions.
  • Partner with Finance and Corporate Development on budgeting, forecasting, and growth initiatives.
  • Analyze claims, reimbursement, procedure-level, and specialty data to develop financial projections and identify potential risks.
  • Translate complex datasets into clear recommendations for business and operational leaders.
  • Support ad hoc analytical requests related to portfolio performance and strategic initiatives.
  • Maintain accurate payer, contract, and reimbursement data used in financial analysis and reporting.
  • Validate data quality and consistency across recurring reports and analytical models.
  • Identify opportunities to streamline reporting, reduce manual work, and improve analytical efficiency.
  • Maintain confidentiality and comply with applicable HIPAA requirements and data governance standards.
  • Use AI-enabled tools, automation, and advanced analytics to accelerate analysis, identify patterns, and improve reporting efficiency.
  • Evaluate manual workflows and develop practical solutions that improve accuracy, consistency, and scalability.
  • Validate automated and AI-generated outputs before incorporating findings into financial analysis or business recommendations.
  • Apply appropriate safeguards when using sensitive financial, payer, or protected healthcare information.
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