Within the Department of Clinical Education and Nursing Excellence, the Nursing Data Analyst plays a pivotal role in leveraging data analytics to drive nursing excellence, ensure accreditation compliance, and foster continuous improvement initiatives.
The incumbent is tasked with entering, manipulating, analyzing, and reporting on data related to clinical systems, while ensuring alignment with national benchmarks and regulatory standards.
Key responsibilities include accurate and efficient data entry according to deadlines and standards, facilitating accreditation processes, providing staff mentorship to interpret data, engaging stakeholders, and supporting nursing projects and research aimed at improving patient outcomes and organizational performance.
The ideal candidate will possess exceptional statistical proficiency, attention to detail, data processing skills, strong communication, and a dedication to advancing clinical inquiry and innovation in nursing practice.
High level of proficiency in Microsoft Suite. Experience in data mining techniques and statistical analysis; experience with healthcare databases (NDNQI and Press Ganey preferred).
Knowledge of statistics and able to communicate effectively with statisticiansStrong communication, interpersonal, organizational and facilitation skills with strong customer service emphasisHealthcare background or experience preferred As part of Keck Medicine of USC, USC Verdugo Hills Hospital is the only community hospital in the Foothills area of Los Angeles backed by an academic medical center.
With its -year legacy of personalized care from expert physicians, experienced nurses and a dedicated staff the community has come to know and trust, USC VHH brings patients the latest medical advancements and / 7 emergency services.
Join this world-class team providing highly-specialized care, up-to-the-minute research and innovative clinical trials. The hourly rate range for this position is $.
- $.. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education / training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.