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Job Description

The Lead Data Analyst at Baptist Health South Florida leads analytics professionals in developing and deploying advanced analytics to generate health and wellness insights. The role defines analytics strategies, performs data mining and exploratory analysis, and communicates findings to drive actionable decisions while ensuring ongoing monitoring of analytics processes.

Responsibilities

  • Provide guidance to analysts as they build and implement advanced analytics solutions that yield valuable insights and support health and wellness initiatives.
  • Define analytics strategies aligned with business objectives through data mining and by identifying opportunities to improve existing processes or uncover new benefits.
  • Design approaches for exploratory analysis and extract insights from data gathered from multiple internal and external sources, including digital, clinical exhaust, and telemetry data.
  • Mentor others in identifying correlations and causal relationships across datasets.
  • Present findings and recommendations in clear, actionable formats to drive decision making.
  • Monitor production reports, dashboards, and other analytics processes to ensure reliable service delivery and recovery.

Requirements

  • Hybrid position with residency in Miami, Florida
  • Master's degree required
  • Experience as a Lead data analyst in a healthcare setting
  • Experience with Agentic AI or agents is preferred
  • Experience leading teams engaged in data querying, visualization, dashboarding, and scorecard tools
  • Expert-level skills in SQL, Excel, Tableau or equivalent tools
  • Ability to apply data visualization, descriptive and summary statistical techniques for discovery and timely insights
  • Hands-on experience with statistical analysis, visualization, and data mining tools such as R and Python
  • Experience with Epic EHR is required
  • Direct experience with healthcare data and exposure to electronic health records or open healthcare data sets is strongly preferred
  • Strong Power BI experience
  • DBT Cloud experience required
  • Visualization tools such as Tableau or Power BI
  • SQL experience is required
  • Minimum of 10 years of relevant experience

Technologies

  • SQL
  • Excel
  • Tableau
  • R
  • Python
  • Epic EHR
  • Power BI
  • DBT Cloud
  • Agentic AI

Benefits

  • Career growth and development opportunities
  • Comprehensive health and wellness resources
  • A wellness program designed to help employees reduce their medical plan deductible
  • Tuition reimbursement

Description

As a Lead Data Analyst, you will guide analysts in building and deploying advanced analytics that generate valuable health and wellness insights. The ideal candidate will demonstrate a proven track record of leadership in defining analytics strategies that support business objectives through data mining and identifying opportunities to improve processes or identify new benefits. You will design and oversee exploratory analysis methodologies to extract insights from diverse data sources.

Qualifications

  • Hybrid position, located in Miami, FL
  • Master's degree required
  • Healthcare data analytics experience is essential
  • Proven experience as a Lead data analyst
  • Experience with Agentic AI or agents is preferred
  • Experience leading teams in data querying, visualization, dashboarding, and scorecard development
  • Expert level skills in SQL, Excel, Tableau or similar tools
  • Ability to apply visualization, descriptive and summary statistical techniques for discovery and timely insights
  • Hands-on experience with R and Python for statistical analysis and data mining
  • Experience with Epic EHR is required
  • Direct experience with healthcare data and exposure to EHRs or open healthcare datasets is strongly preferred
  • Strong Power BI experience
  • Agentic AI experience is a plus
  • DBT Cloud experience required
  • Visualization tools such as Tableau or Power BI
  • SQL experience required
  • Minimum of 10 years of relevant experience

Salary

USD 115,444 - 150,077 per year

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