Note: The job is a remote job and is open to candidates in USA. Mercy is seeking a Lead Data Analyst to transform how they use data for smarter decisions. This role combines business analysis with advanced analytics and emerging technologies to enable predictive and prescriptive decision-making across the organization.

Responsibilities

• 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

Skills

• Education: Degree(s) in data analytics, statistics, mathematics, computer science, technology or related field experience
• Experience: Five (5) years of relevant technical or business work experience or knowledge in data analysis, business intelligence, or a related technical field, with a proven ability to deliver insights that influence strategic decision-making
• 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
• Experience with cloud-based Azure data platform
• Familiarity with enterprise data governance and security practices
• Excellent communication skills to bridge technical and business teams

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Tuition support
• Matched retirement plans for team members working 32+ hours per pay period

Company Overview