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University of Miami

Data Analyst 3

Coral Gables, FL

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
29 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 lead faculty member and are based on substantive intellectual contribution. The role is best suited to master’s- or PhD-trained candidates seeking a sustained career in applied research as part of a faculty-led team. It is not a post-doctoral position, and candidates focused on building an independent research agenda are unlikely to find it a good fit.

To apply, please submit (1) a resume or CV, (2) unofficial graduate transcripts, (3) a list of three references with contact information, and (4) a cover letter of no more than two pages. The cover letter should describe your background and fit for the role, your interest in being based in Miami, and one causal inference analysis or similar project you have implemented, including the research question, the econometric method(s), and the statistical software program used.

Job Responsibilities

Explore new datasets and propose potential research questions and identification strategies to faculty.

Contribute to study design and protocol development, including discussions of causal identification strategies, data requirements, and advanced analytic approaches.

Clean, manage, and analyze research datasets with limited direction, maintaining reproducible, well-documented code.

Draft tables, figures, methods sections, and other components of manuscripts, conference abstracts, posters, and internal memos.

Summarize data and preliminary findings for faculty and research teams.

Conduct literature reviews to inform study design and manuscript framing.

Communicate proactively and professionally with faculty and research teams, including timely responses to correspondence and clear escalation when issues arise.

Serve as project coordinator for data contracts the department has entered into with public and private organizations.

Prepare and maintain IRB protocols and related correspondence for projects involving primary data collection.

Other duties as assigned.

Knowledge, Skills, and Abilities

Required:

A master’s or doctorate degree in economics, public policy, health policy, health services research, or a closely related field, completed by the start date.

Graduate coursework in econometrics and hands-on experience applying causal inference methods (e.g., difference-in-differences, instrumental variables, regression discontinuity).

Strong proficiency in Stata (preferred) and/or R for econometric analysis.

Demonstrated interest in academic research in health economics, health services research, health policy, or a related field, and prior experience producing research deliverables (e.g., tables and figures, manuscript sections).

Strong critical thinking skills and a willingness to problem-solve proactively and independently rather than wait for direction.

Ability to manage multiple projects and meet deadlines with limited supervision.

Excellent organizational, written, and oral communication skills, and strong attention to detail.

Preferred but not required:

Experience with Git/GitHub for version control and collaborative project management.

Experience with LaTeX for academic writing.

Familiarity with SQL, cloud computing, or text analysis.

Interest in using AI-assisted programming tools (LLM-based coding agents) to augment and accelerate research projects.

Familiarity with IRB processes and regulatory requirements for human subjects research.

The University of Miami is recognized as one of the nation’s premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff

Original posting on University of Miami's site ↗

Listed on hirly, a job board. hirly is not the employer: University of Miami is hiring for this role.

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