Revenue Cycle Data Analyst - Insights & Dashboards

Mount Sinai

United States

On-site

USD 66,000 - 99,000

Full time

14 days+
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Job summary

Mount Sinai Health System is seeking a Back-End Revenue Cycle Data Analyst to collect, analyze, and interpret financial and operational data within the revenue cycle. You will support billing, denials, AR management, and payer performance while ensuring data accuracy and driving actionable insights to improve cash flow.

The role collaborates with CBO leadership, clinical departments, IT, and finance to identify performance gaps, develop solutions, and support strategic initiatives with robust

Qualifications

  • Bachelor’s degree or equivalent experience.
  • 3–5 years of experience in healthcare revenue cycle analytics or related financial/operational analysis.
  • Strong understanding of revenue cycle processes, payer rules, and healthcare billing data.

Responsibilities

  • Develops and maintains dashboards, scorecards, and recurring reports for operational and financial decision‑making.
  • Monitors KPIs including net collections, days in AR, denial rates, and payer turnaround times.
  • Prepares analytical reports for leadership on daily, weekly, monthly, and annual bases.
  • Collaborates with CBO leadership to identify performance gaps and develop solutions.
  • Serves as SME on revenue cycle data structures, reporting tools, and analytic methodologies.

Skills

Analytical skills
Data analysis
Dashboards
SQL
Tableau/Power BI
Healthcare revenue cycle

Education

Bachelor's degree or equivalent experience

Tools

SQL
Tableau
Power BI

Job description

Mount Sinai Health System is seeking a Back-End Revenue Cycle Data Analyst to collect, analyze, and interpret financial and operational data within the revenue cycle. You will support billing, denials, AR management, and payer performance while ensuring data accuracy and driving actionable insights to improve cash flow.

The role collaborates with CBO leadership, clinical departments, IT, and finance to identify performance gaps, develop solutions, and support strategic initiatives with robust

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