Revenue Cycle Data Analyst & AI-Driven Insights

Advanced Urology Center

Snellville (GA)

On-site

USD 69,000 - 85,000

Full time

5 days ago
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Job summary

Advanced Urology Center in Snellville, Georgia seeks a Revenue Cycle Data Analyst to build and maintain dashboards and data models that support the entire revenue cycle. This is a technical, individual-contributor role reporting to the VP, Revenue Cycle and collaborating informally with Finance and Operations teams.

We value strong data-analytics skills, including AI/ML-assisted tools and RPA, with healthcare experience a plus but not necessary as it can be learned on the job.

Qualifications

  • Bachelor’s degree in data analytics, data science, CS, statistics, or related field.
  • 2–5 years in data analytics, reporting, or BI.
  • Proficient in Excel; working knowledge of SQL and Power BI or Tableau.
  • Familiar with AI/ML-assisted analytics tools and techniques.
  • No healthcare experience required; eager to learn industry.

Responsibilities

  • Build and maintain recurring and ad hoc reports, dashboards, and data models.
  • Apply SQL and AI/ML analysis to transform raw datasets into insights.
  • Support identification of payment variances and trends for leadership.
  • Gather requirements and translate outputs for non-technical stakeholders.
  • Automate manual reporting and improve data pipelines.
  • Maintain data quality and documentation with version control.
  • Present findings clearly to VP Revenue Cycle.

Skills

Data analytics
SQL
Excel
Power BI
Tableau
AI/ML interest

Education

Bachelor's degree in data analytics related field

Tools

SQL
Excel
Power BI
Tableau

Job description

Advanced Urology Center in Snellville, Georgia seeks a Revenue Cycle Data Analyst to build and maintain dashboards and data models that support the entire revenue cycle. This is a technical, individual-contributor role reporting to the VP, Revenue Cycle and collaborating informally with Finance and Operations teams.

We value strong data-analytics skills, including AI/ML-assisted tools and RPA, with healthcare experience a plus but not necessary as it can be learned on the job.

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