Data Management Analyst III

Classification Title:

Data Management Analyst III

Job Description:

Analytics

• This position will be responsible for selecting and applying appropriate analytical methods to answer questions and test hypotheses as specified by researchers, administrators and clinicians. • This position will require proficiency in database design, data ontology practice and statistical analyses. • Using word processing, spreadsheet, presentation and organizational analyses (e.g. Microsoft Office products), provides reports of analyses to decision makers. • Will also be responsible for developing reporting mechanisms via dashboards. • Supports development of autonomous ongoing strategy for data analytics at the Center. • Harness data in support of the strategic mission of the center. • Present and publish data in such a way as to be accessible by lay and professional audiences   Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of proficiency to manipulate and analyze data associated with research studies.   Data Management • Design, create and support for data collection management and storage system at the Center. • Prioritize and coordinate multiple research projects often under tight deadlines. • Set strategies and priorities for responding to research data requests • Manages queue of incoming research data requests • Set policies to limit collection of unnecessary data • In accordance with data governance plan, set priorities and strategies for incorporating new sources of data into the data repository. • Training and supervision of research staff as it relates to data warehouse use and security.   Data Security and Integrity • The PHRC aims to provides secure, accurate, and reliable data to support rigorous research. • The person in this position must uphold the highest standards of data quality, conduct data quality analyses, and describe data quality strengths and weaknesses in the context of research. • Assists in the development and execution the organizations’ strategy for improving and maintaining research data integrity. • With the PHRC team, defines and establishes data integrity definitions and rules consistent with unit and organizational priorities. • Supports a consistent ontology. • Defines data integrity metrics and establishes processes to measure and monitor them continuously. • Ensures compliance with data security standards. • Manage communications related to data quality both good and bad. • Works with PHRC team and IT partners to prevent and remediate identified quality issues using both manual and automated solutions.   Other Duties • Participate in all required meetings and training sessions as necessary. • Other miscellaneous duties as assigned. Expected Salary:

$80,000 - $85,000

Minimum Requirements:

Master's degree in an appropriate area and two years of relevant experience; or a bachelor's degree in an appropriate area and four years of relevant experience.

Preferred Qualifications:

• Bachelor's or master's degree in computer science, statistics, information systems, or related field and four
• In order to be considered, you must upload your cover letter and resume.
• The University of Florida is an Equal Employment Opportunity Employer
• This requisition has been reposted. Previous applicants are still under consideration and need not apply.
• Application must be submitted by 11:55 p.m. (ET) of the posting end date.

years of relevant experience.   EXPERIENCE Must demonstrate experience with database design, reporting tools, and project management and familiarity with health care information system industry. Working in healthcare or academic research environments A customer-service orientation and/or experience working with older adults Committed to participant protection and privacy   KNOWLEDGE Must demonstrate experience with EMRs (such as Epic), systems, and data design. Knowledge of SQL or other relational database management systems Knowledge of basic principles of clinical research.   SKILLS Proficiency with general statistical software (e.g. SAS, R) Proficiency with machine learning frameworks (R, Python, Weka, RapidMiner, etc) Proficiency in Microsoft Office Word, Outlook, PowerPoint, and data analysis software (Excel, SPSS) Excellent technical writing and communication skills   ABILITIES Ability to plan, organize and coordinate work assignments. Ability to work effectively and independently. Ability to communicate effectively verbally and in writing. Ability to establish and maintain effective working relationships with others.   OTHER QUALIFICATIONS Creativity Attention to detail Professionalism Good judgement Special Instructions to Applicants: Health Assessment Required: No.