Remote Epic BI Developer for Community Analytics

Lee Health; United States; Remote; USD 60,000 - 78,000; Full time

Job summary

Lee Health’s Analytics Center of Excellence is seeking an Epic Advanced BI Developer to build reports and dashboards from Epic and other systems. You will apply SQL and data modeling to deliver insights that support leaders in improving care delivery and operational performance.

You will collaborate with business and IT teams to manage projects, present findings, and ensure data accuracy for high-stakes decisions. This role emphasizes Epic data structures expertise and BI tool proficiency.

Qualifications

• 3+ years of healthcare IT, analytics, software development or data management using Agile & Scrum.
• 5+ years of experience developing and managing reports and dashboards for analytic projects.
• 4+ years of experience with BI tools (Qlik Sense, Power BI, Tableau) and advanced data modeling.

Responsibilities

• Develop reports, dashboards, and visualizations from Epic, Infor, and other enterprise systems.
• Apply advanced analytics to identify trends, patterns, and insights that improve operational performance.
• Serve as SME in Epic data structures and BI development.
• Manage project timelines, data integrity, and stakeholder communications.
• Partner with business and IT leaders to translate analytic needs into actionable solutions.

Skills

SQL programming

BI reporting & dashboards

Data modeling

Cross-functional collaboration

Education

Bachelor’s degree in IT or related field

Master’s degree in Data Science or Advanced Analytics

Tools

Epic Clarity/Caboodle

Qlik Sense

Power BI

Tableau

Epic Cogito Tools (Reporting Workbench, Radar, SlicerDicer)

Job description

Lee Health’s Analytics Center of Excellence is seeking an Epic Advanced BI Developer to build reports and dashboards from Epic and other systems. You will apply SQL and data modeling to deliver insights that support leaders in improving care delivery and operational performance.

You will collaborate with business and IT teams to manage projects, present findings, and ensure data accuracy for high-stakes decisions. This role emphasizes Epic data structures expertise and BI tool proficiency.