UCSD Layoff from Career Appointment: Apply by 12/22/20 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 01/04/21. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTIONThe Division of Medical Education within the UCSD School of Medicine is comprised of the following major units: Admissions & Student Affairs; Undergraduate Medical Education; Graduate Medical Education; and Continuing Medical Education & Faculty Development. Office of Education Technology, Innovation, and Assessment provides a broad range of technology resources and services to support students, faculty, and staff. The division supports the education, training and co-curricular activities of 500 medical students, 800 residents, and fellows, as well as the faculty, physicians and healthcare providers at UCSD's School of Medicine and Medical Centers. The Business Systems Analyst is instrumental in ensuring that Medical Education related business processes operate optimally and evolve with the changing needs for the Office of Education Technology, Innovation, and Assessment. Understands the business processes being integrated with different Evaluation systems and Learning Management System and then configures the systems. Documents and defines the architecture, user stories requirements, process flows, configures the systems and ensures proper test cases are developed and executed. Responsible for the application of advanced business processes and analysis of concepts and organizational objectives to resolve highly complex issues with variable factors. Ensures operational excellence by training personnel, providing reports and support when required. Applies business process and analysis concepts and department/unit and location policies and procedures to resolve a variety of business process problems. Works on business process issues of limited to the moderate scope where the evaluation of processes, procedures, and data requires a variety of factors. MINIMUM QUALIFICATIONSSeven years of related statistics, quality improvement, data analysis experience OR a Bachelor's Degree in computer science, data science, statistics; and/or equivalent experience /training. Demonstrated experience in analysis and management of complex data. Experience in SAS, SPSS, R or equivalent. Thorough Knowledge of related areas of IT. Strong skills and knowledge of methodologies associated with analysis of processes and problems, information flow and architecture. In-depth understanding and skill in process and systems requirement documentation standards, such as Use Case modeling, User Story creations and narrative description. Demonstrated ability to work with others from diverse backgrounds. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Demonstrates problem solving skills. Thorough knowledge of business processes and procedures. Demonstrated testing and test planning skills. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non-technical personnel at various levels in the organization. Demonstrated ability to write scientific articles for peer-reviewed publications. Ability to write grant proposals including power calculations. Ability to review scientific articles and make innovative contributions to literature. Understanding and skill in complex process and systems requirement documentation standards, such as Use Case modeling, User Story creations and narrative description. Advanced knowledge, skills, and abilities associated with system problem identification and resolution. Knowledge necessary to design, set up operate and correct malfunctions involving technology systems. Advanced problem-solving skills in application environment, database connections, business logic and SQL queries. Excellent communication and time management skills; ability to balance multiple projects under deadlines. Demonstrated experience with research design, protocol development, project oversight, qualitative and quantitative research methods. Experience in Big Data Environment and demonstrated ability to provide predictive and prescriptive analytics and reporting to faculty and staff.
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