AI Healthcare - Lead Data Analyst

*Please note that as of the posting date of this job announcement, Mercy is unable to offer immigration sponsorship or visa assistance for this position. We encourage all eligible candidates, including U.S. citizens, permanent residents, and those with existing work authorization, to apply.

We're hiring a Lead Data Analyst to drive advanced end-to-end development:

• Data Engineering - Build and create data assets
• Development - Build Power BI reports and frontend solutions
• Advanced Analytics - Seeking analysts/data scientists who can work with Mercy's large datasets for advanced analytics, AI, and machine learning.

Position Description: Lead Data Analyst

Location: Remote
Type: Full-Time

What You'll Do:

• 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.

What We're Looking For:

• 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.

Qualification(s):

• 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.

Preferred Qualification(s):

• Experience with cloud-based Azure data platform.

• Familiarity with enterprise data governance and security practices.

• Excellent communication skills to bridge technical and business teams.

Why Join Us?
This is an opportunity to lead the evolution of analytics in our organization-moving beyond reporting to predictive insights and automation. If you're passionate about advanced analytics and emerging technologies, we want you on our team.

Find us at:

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EEO/AA/Minorities/Females/Disabled/Veterans

From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32+ hours per pay period.

Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us.