JOB SUMMARYJoin UT Southwestern as a Department Data Analyst, Sr. in the Center of Nurse Excellence, Magnet® Program & Nursing Research Department. As UT Southwestern's main institutional hub for nursing research, you will have the opportunity to join a team of peers with a wide-range of experiences to conduct a variety of specialty research studies directly with our talented and patient focused bed-side nurses. At UT Southwestern, exploring your interests and advancements in your career are highly encouraged. We invite you to be a part of the UT Southwestern Magnet Program & Research team where your success is the team's success.
The position's main responsibilities include supporting projects and research studies in database development, data quality checks, data cleaning, submitting data requests, and building reports and dashboards.
BENEFITSUT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare-no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
- Learn more about these and other UTSW employee benefits!
EXPERIENCE AND EDUCATIONRequired- Education
Bachelor's Degree In Science, Information Management, Healthcare Information, Statistics, Business or closely related field
- Experience
5 years Data management/analyst preferably in a clinical or healthcare related field.
A combination of equivalent education and experience will be considered.
Preferred- Experience
Familiarity with scientific terms (in biology, biochemistry, chemistry, etc.)
Work in a clinical or healthcare related field
JOB DUTIES- Primary data steward responsible for all department databases, source systems and data structures.
- Responsible for the abstraction of data, analysis of data, and subsequent interpretation of data/ recommendations for consideration by departmental leadership, technical counterparts, and all relevant institutional business users.
- Ensure accuracy of data and reporting across department functions, mitigating against any audit/data risk by setting processes to validate data an on ongoing basis.
- Manages departmental projects and serves as primary departmental contact for all reporting/data mining tasks. Defines and maintains project plan and schedules. Monitors compliance with definitions of project scope, timelines, and deliverables. Provides regular project status reports to departmental leadership.
- Assists Department Data Analysts of lower status with data needs and project coordination.
- Serves as technical lead and subject matter expert (SME) for all source data systems relevant to department operations. Shares information with department management team on a recurring or as needed basis.
- Serves as lead technical contact for relevant data points and sources systems for institutional projects/platforms (i.e. EDW, Organizational Dashboards, etc.)
- Coordinates the data preparation and submission of documents to federal agencies, state agencies, private research funding agencies and other organizations as required by law and contractual vehicle.
- Responsible for data mapping/data architecture across department data fields and relevant source systems, utilizing process maps and Business Intelligence architecture tools.
- Leads development of education/training tools that educate team members and institutional partners on generation and/or interpretation of data, statistical analysis and application to decision making to improve organization efficiency and outcomes.
- Duties performed may include one or more of the following core functions: a) Directly interacting with or caring for patients; b) Directly interacting with or caring for human-subjects research participants; c) Regularly maintaining, modifying, releasing or similarly affecting patient records (including patient financial records); or d) Regularly maintaining, modifying, releasing or similarly affecting human-subjects research records.
