UCLA Health

Graduate Medical Education Data Analyst

Job description

Responsibilities

In collaboration with the Educational Measurement Unit and GME teams, you will provide support for the planning and implementation of all GME evaluations and surveys, including the design, deployment, and analysis of current and new instruments. You will provide measurement expertise to training program leadership in consideration of the ACGME requirements and milestones. You will also provide training SUPPORT for program staff on use of the MedHub residency management system for creating evaluations, reports and other functions relevant to ensuring the validity of data.

As our GME Data Analyst, you must have the ability to work independently and with a team; ability to build, analyze, synthesize, interpret and report on complex psychometric instruments across a variety of settings and stakeholders (e.g., Dean, GME Committee, program and departmental leadership); collaborate with other offices to obtain information and data needed for evaluation and quality improvement functions. You also must possess excellent communication and presentation skills, as effective communication and trust development with faculty, staff, and trainees at DGSOM and affiliate training sites is integral to driving data-informed change.

Qualifications

  • Ability to conduct data analysis and survey research in an applied setting.
  • Proficiency in writing, editing, and proofreading to produce reports and data analysis, and to compose and edit information and correspondence.
  • Skill in establishing, building and maintaining positive and cooperative working relationships with project stakeholders and colleagues, including diverse body of students, staff, faculty, and community members.
  • A Bachelor’s degree in data science, psychology, higher education, policy analysis, analytics, statistics, or related fields strongly preferred
  • Training and experience in statistical research methods and data analysis.
  • Experience preparing and presenting data insights and making data-driven recommendations to senior leadership that will drive institutional change; skill in presenting information to large and small, technical and non-technical audiences.
  • Ability to work with a high degree of autonomy, organize multifaceted projects and develop accurate timelines for completion, and to work effectively with conflicting demands and changing priorities. Skill in managing complex tasks with occasional interruptions and distractions. Ability to work with incomplete information.
  • Experience in using R, SPSS, or another statistical software, for descriptive and inferential statistics.
  • Advanced technical literacy in the Microsoft environment, including Access, Word, Excel, PowerPoint, and Outlook.
  • Experience with data visualization
  • Advanced knowledge and experience using Tableau or other software for data visualization and reporting.
  • Aptitude for story-telling and creative display and presentation of data.
  • Subject matter expertise in ACGME institutional and common program requirements.
  • Experience with MedHub or other residency management software platforms for report creation

UCLA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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