Otha G. Ellis, Jr. is a healthcare data and finance professional with experience in SQL, financial modeling, predictive analytics, and applied AI. He is Epic-certified and works at the intersection of data, pricing, and operational decision support. His interests focus on emergency department pricing, healthcare price transparency, and the use of analytics to better align costs, access, and patient outcomes.
With experience providing quantitative and qualitative insights to optimize pricing strategies, forecasting revenue, and streamlining financial reporting at AnMed Health, Saint Francis Health System, ConocoPhillips, IBM, and The Williams Companies, Otha has developed data-driven solutions that improve efficiency, enhance compliance, and drive profitability. Holding an MBA from the University of Florida and a BS in Accounting from Oral Roberts University, he also mentors aspiring data professionals through coding bootcamps, helping students master Excel, SQL, and Tableau in real-world applications.
Passionate about leveraging data to improve decision-making, Otha continues to explore innovative ways to quantify social, economic, and environmental factors in analytics.
Financial, Reporting, and Analytical Platforms and Applications
MS SQL Server; n8n; Knime; Epic EHR; Tableau; Power BI; SAP (BW, FI, CO, PS, MM, AM, BI/Business Objects, Crystal Reports); Microsoft Office (Excel, Word, and Access); Oracle (Financials, AP, Database); PeopleSoft (Financials, Payroll); Oracle Crystal Ball (Predictive Modeling)
Programming
SQL; Visual Basic (VBA); Python; R
Certifications
Epic Cogito, Epic Clarity, Epic Caboodle, Epic Financial, Epic Clinical, Azure Data Fundamentals, Certified Specialist Business Intelligence (Healthcare Financial Management Association)
MBA, University of Florida
Gainesville, Florida
BS Accounting, Oral Roberts University
Tulsa, Oklahoma
University of Pennsylvania - Wharton Coursera (Operational Analytics, People Analytics, Customer Analytics)
Six Sigma Green Belt; SAS for Data Analytics; Google Analytics; Data Science and Visualization; Financial Modeling and Valuation