Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The University of Miami’s Business School has an exciting opportunity for a full-time Data Analyst 3 to work on the Coral Gables campus.
Job Description
Title: Data Analyst III
Department: Department of Health Management and Policy, University of Miami Business School
Reports to Dr. Michael T. French, Professor and Chair of the Department of Health Management and Policy
Location: Coral Gables, FL (in-person)
Training: A master’s or doctorate degree in economics, public policy, health policy, health services research, or a closely related field with graduate training in econometrics, completed by the start date
Start date: As soon as possible, ideally by December 2026 and no later than January 2027
Job Summary
The Data Analyst III will conduct applied empirical research in health economics, health services research, and health policy alongside research-active faculty in the Department of Health Management and Policy (HMP) at the University of Miami Business School. The work is primarily quantitative and spans the full research process: developing research questions and identification strategies, cleaning and analyzing data, implementing causal inference methods, producing tables and figures, and drafting sections of manuscripts for peer-reviewed journals and conference presentations.
We are seeking a candidate with strong training in econometrics and a genuine interest in academic research. Candidates should have experience implementing causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity) with a solid understanding of endogeneity and causal identification. Applicants whose training is primarily in data analytics, business analytics, or data science, without complementary graduate coursework in econometrics, are unlikely to be a good fit. Beyond the requisite technical skills, the ideal candidate will bring professional maturity: the ability to take initiative, communicate proactively, exercise sound judgment with limited oversight, and contribute intellectually to the direction of the research.
This is a full-time research support position. The Data Analyst’s time is dedicated to faculty-led projects, with no protected time for independent research. Co-authorship opportunities on resulting manuscripts are at the discretion of the