Revenue Cycle Analytics & Decision Support Consultant

Role Description

We are sharing a specialised part-time consulting opportunity for United States-based healthcare revenue cycle professionals experienced in revenue cycle analytics, reporting, decision support, financial modeling, KPI dashboards, data governance, business intelligence, and healthcare financial performance improvement. This role supports current and upcoming remote consulting opportunities focused on AI-assisted revenue cycle analytics evaluation, healthcare financial reporting review, decision-support workflow assessment, and high-quality project execution. Selected professionals will apply revenue cycle analytics expertise to evaluate AI-generated reporting outputs, review KPI dashboards and financial recommendations, identify data quality issues, and provide structured analytical feedback based on detailed project criteria.

Key Responsibilities

• Revenue Cycle Analytics & Reporting Review
  • Review revenue cycle analytics outputs, reporting frameworks, KPI dashboards, scorecards, and trend analyses.
  • Evaluate reporting quality across patient access, coding, billing, denials, accounts receivable, collections, and net revenue performance.
  • Assess whether financial reporting outputs are accurate, complete, actionable, and aligned with revenue cycle operations.
  • Identify data gaps, inconsistent definitions, weak assumptions, missing context, or analytical errors in reporting outputs.
• Decision Support & Financial Performance Evaluation
  • Evaluate AI-generated revenue cycle insights, financial modeling recommendations, and decision-support outputs for accuracy and usefulness.
  • Review root cause analyses of revenue cycle performance variances and assess whether recommendations are data-driven and operationally realistic.
  • Support evaluation of forecasting, budget modeling, net revenue realization, and performance improvement recommendations.
  • Assess whether analytics outputs translate complex revenue cycle data into clear operational or executive-level recommendations.
• Data Governance, BI & Structured Feedback
  • Review data governance logic, reporting consistency, data definitions, and data quality standards.
  • Evaluate outputs involving healthcare analytics platforms, business intelligence tools, SQL-based analysis, and EHR-integrated reporting systems.
  • Annotate AI-generated analytics content and provide structured feedback to support quality improvement.
  • Explain review decisions clearly, consistently, and with strong healthcare financial analytics judgment.

Qualifications

• 5+ years of experience in revenue cycle analytics, revenue cycle reporting, healthcare financial decision support, or related healthcare analytics functions.
• At least 2 years of leadership experience in revenue cycle analytics, reporting management, decision support, or analytics operations.
• Deep understanding of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, accounts receivable, and collections.
• Proficiency with healthcare analytics platforms, BI tools such as Tableau or Power BI, and SQL-based data analysis.
• Experience with EHR-integrated analytics platforms and revenue cycle reporting systems.
• Strong financial modeling, data interpretation, and performance analysis skills.
• Exceptional written and verbal English communication skills.
• High attention to detail and ability to identify data quality issues, analytical errors, and weak AI-generated recommendations.

Requirements

• Academic or professional background in healthcare administration, finance, accounting, analytics, business intelligence, data science, information systems, economics, or a related analytical field is highly relevant.
• Professional experience in health systems, large physician enterprises, revenue cycle departments, healthcare finance teams, or revenue cycle outsourcing analytics operations may be especially valuable.
• Experience leading analytics teams, reporting programs, BI implementation, data governance, revenue cycle forecasting, or decision-support functions may support project fit.
• Practical healthcare revenue cycle analytics experience may be considered alongside formal education depending on project requirements.

Nice to Have

• HFMA CRCR, CHFP, healthcare analytics certification, or similar revenue cycle or healthcare finance credential.
• Experience with predictive analytics, revenue cycle forecasting, budget modeling, net revenue modeling, or financial performance improvement.
• Background implementing enterprise-wide revenue cycle analytics infrastructure, reporting standardization, or BI platform migrations.
• Familiarity with AI tools and comfort evaluating AI-generated analytics, dashboard, or financial reporting content.
• Experience collaborating with finance, IT, revenue cycle operations, patient access, coding, billing, denial management, or executive leadership teams.

Why This Opportunity

• Apply revenue cycle analytics and decision-support expertise to structured remote healthcare project work.
• Contribute to high-quality AI-assisted healthcare financial analytics evaluation.
• Use reporting leadership, KPI knowledge, financial modeling, and data governance experience in a focused review environment.
• Work on flexible assignments aligned with healthcare analytics, revenue cycle performance, BI reporting, and decision-support strengths.
• Remote structure with competitive hourly compensation.

Contract Details

• Independent contractor role.
• Fully remote with flexible scheduling.
• United States-based professionals are required for this opportunity.
• Part-time project-based commitment depending on availability, onboarding status, and project needs.
• Competitive rates of up to $80 per hour depending on healthcare analytics experience, revenue cycle expertise, leadership background, and project scope.
• Weekly payments via Stripe or Wise.
• Projects may be extended, shortened, or adjusted depending on scope and performance.
• Work will not involve access to confidential or proprietary information from any employer, client, or institution.