University of Florida - Details - Data Management Analyst II

Data Management Analyst II

Apply now Job no: 536916
Work type: Staff Full-Time
Location: Main Campus (Gainesville, FL)
Categories: Health Care Administration/Support
Department:57720000 - INSTITUTE-CHILD HEALTH POLICY

Classification Title:	Data Management Analyst II
Classification Minimum Requirements:	Master’s degree in an appropriate area; or a bachelor’s degree in an appropriate area and two years of relevant experience.
Job Description:	Design and manage data file systems from multiple research projects that include multiple data sets using a variety of database and statistical software tools, for example, SAS, SQL, and Excel. Optimize data summary and reporting using various software tools including SAS programming, SQL code, Excel Macros (Visual Basic), and running stored procedures; generate output for presentation in scientific reports, conference presentations, and peer-reviewed publications. Conduct statistical data analyses, write statistical programming code for software such as SAS, Stata, S-Plus, SPSS, and participate in interpretation of results to be presented in scientific reports, conference presentations, and peer-reviewed publications. Participate in design and implementation of research and evaluation studies. Other duties as assigned.
Expected Salary:	$65,000 - 75,000
Required Qualifications:	Master’s degree in an appropriate area; or a bachelor’s degree in an appropriate area and two years of relevant experience. Diverse skills in data management, programming, and statistical methods; ability and experience working with a number of software packages (e.g., SAS, SPSS, Stata, Excel, and Access). Ability to work independently, with initiative, manage time and work with minimal supervision to analyze problems and take appropriate action to complete projects.
Preferred:	Diverse skills in data management, programming, and statistical methods; ability and experience working with a number of software packages (e.g., SAS, SPSS, Stata, Excel, and Access). Ability to work independently, with initiative, manage time and work with minimal supervision to analyze problems and take appropriate action to complete projects.
Special Instructions to Applicants:	In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. This is a time limited position. The University of Florida is committed to providing equal employment opportunities for all qualified individuals. If you require an accommodation due to a disability to apply for this position, please contact the ADA Office at (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD). For more information, visit the UF ADA Compliance website: https://ada.ufl.edu
Health Assessment Required:	No

Advertised: 25 Aug 2025 Eastern Daylight Time
Applications close: 08 Sep 2025 Eastern Daylight Time

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Position	Department	Location	Closes
Data Management Analyst II	57720000 - INSTITUTE-CHILD HEALTH POLICY	Main Campus (Gainesville, FL)	8 Sep 2025
The Institute for Child Health Policy (ICHP) at the University of Florida supports contracts with Texas and Florida Medicaid agencies and conducts policy research utilizing these and other health data resources. ICPH is seeking a Data Management Analyst II to contribute to data warehousing, management and analysis for research and quality improvement initiatives focused on evaluating access to and quality of care for Medicaid and Children’s Health Insurance Program (CHIP) beneficiaries. As part of the data management team, this position will be responsible for: 1) Designing and managing data file systems from multiple research projects that incorporate diverse data sets and data platforms. 2) Participation in the design and implementation of research and evaluation studies. 3) Conducting statistical analyses and contributing to the interpretation of results. 4) Assisting with data collection and reporting to support deliverable. 5) Contributing to scientific outputs, including reports, conference presentations, and peer-reviewed publications.