Utilize Epic EHR data sources (Clarity, Caboodle, and related reporting environments) to build scalable analytics and AI-ready datasets that support clinical quality improvement, operational performance, and population health initiatives.
Partner with business stakeholders to gather requirements and align analytics solutions with business objectives.
Perform advanced analytics, including statistical modeling, forecasting, and AI-driven insights.
Leverage Databricks AI and Databricks Agent to automate workflows and enhance data-driven decision-making.
Develop Power BI dashboards and visualizations that communicate complex insights clearly and effectively.
Collaborate with engineering and data platform teams to ensure proper data access and governance.
Identify opportunities to apply emerging technologies for improved business outcomes.

Experience analyzing Epic healthcare data models and reporting environments, with the ability to translate clinical and operational data into actionable insights.
Strong experience in data analytics and business analysis.
Hands-on expertise with Databricks, including Databricks Agent and AI/ML capabilities.
Proficiency in SQL and Python for data manipulation and advanced analytics.
Ability to translate business needs into technical solutions and actionable insights.
Knowledge of AI/ML concepts and experience applying them to real-world problems will be required.

Senior Data Analyst – AI Healthcare

Key skills