AI-Driven Revenue Cycle Data Analyst

Advanced Urology

Snellville (GA)

On-site

USD 65,000 - 95,000

Full time

4 days ago
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Job summary

Advanced Urology is seeking a Revenue Cycle Data Analyst to build reports, dashboards, and data models supporting the revenue cycle. You will work under the VP, Revenue Cycle and partner with finance teams to deliver actionable insights using Excel, SQL, and BI tools.

The role emphasizes AI/ML-assisted analytics, data quality, and automation of reporting pipelines in a healthcare setting. Strong communication helps translate technical output for stakeholders.

Qualifications

  • Bachelor's degree in data analytics, data science, CS or related field.
  • 2–5 years in data analytics, reporting, or BI.
  • Proficient in Excel with SQL and at least one visualization tool (Power BI/Tableau).
  • Interest in AI/ML analytics tools and techniques; healthcare experience not required.

Responsibilities

  • Build and maintain recurring and ad hoc reports, dashboards, and data models.
  • Track claims volume, revenue, collections, denials, and payer performance.
  • Apply SQL and AI/ML assistance to clean data and generate insights.
  • Identify payment variances and quantify trends for leadership review.
  • Collaborate with Revenue Cycle, Finance, and Operations to translate output for non-tech stakeholders.
  • Automate manual reporting and optimize data pipelines where possible.
  • Maintain data quality and documentation with version control.

Skills

Excel
SQL
Data Visualization
AI/ML

Education

Bachelor's Degree in Data Analytics

Tools

Power BI
Tableau

Job description

Advanced Urology is seeking a Revenue Cycle Data Analyst to build reports, dashboards, and data models supporting the revenue cycle. You will work under the VP, Revenue Cycle and partner with finance teams to deliver actionable insights using Excel, SQL, and BI tools.

The role emphasizes AI/ML-assisted analytics, data quality, and automation of reporting pipelines in a healthcare setting. Strong communication helps translate technical output for stakeholders.

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