Business Systems and Institutional Data Analyst

Reporting to the Executive Director of Administrative Operations, the Business Systems and Institutional Data Analyst serves as the lead data and systems expert for UCLA’s bioscience doctoral programs and ~50 NIH-funded predoctoral and postdoctoral training programs. These programs support more than 700 graduate and MD/PhD students, 400 postdoctoral scholars, 500 training faculty, and 30 departments, providing $15M annually in trainee support.

Key Role Summary

• Leads the design, development, and maintenance of the web-based data systems that support all training grant submissions and institutional reporting.
  
• Provides advanced business analysis and data management expertise to meet evolving NIH and institutional requirements.
  
• Translates complex functional needs into effective system specifications, data workflows, and long-term technical solutions.

Essential Responsibilities

• Produce and analyze data for training grant proposals, renewals, annual progress reports, and institutional studies.
  
• Serve as the primary contact for data requests related to Graduate Programs in Bioscience (GPB), the Medical Scientist Training Program (MSTP), and Postdoctoral Affairs.
  
• Integrate data from multiple campus systems to generate accurate, program-specific reporting, including NIH training data tables.
  
• Advise faculty and staff on data strategies, agency guidelines, and best practices to enhance training program competitiveness.
  
• Train program staff on database use and ensure data accuracy, consistency, and compliance across all systems.
  
• Conduct independent analyses to identify trends, opportunities, and recommendations for improving the research training environment.
  
• Oversee ongoing database updates, enhancement planning, and collaboration with developers to ensure efficient and compliant operations.
  

Required:

• Bachelors Degree and/or equivalent combination of education and experience
• 3-5 years of related experience or training in similar field
  
• Experience with educational data reporting and compliance with NIH training grant requirements
  
• Demonstrated skill in analyzing complex information, problems, situations, practices and procedures to identify important factors, to recognize alternative solutions or approaches and their implications, and to formulate logical, objective, and effective recommendations and solutions
  
• Expert level research ability to find, collect, synthesize, and report training data and agency and program requirements.
  
• Ability to analyze various source documents, databases and data entry areas to identify data quality issues and determine potential causes and solutions.
  
• General knowledge of university personnel, financial aid and student information systems as well as policies related to graduate education and employment as an academic apprentice.
  
• General knowledge of the characteristics of doctoral and postdoctoral academic and extramurally funded training programs.
  
• Working knowledge of requirements specifications of NIH pre-doctoral and postdoctoral training grant applications and progress reports; ability to extract and assemble all necessary training data elements to agency specifications.
  
• Working knowledge of SQL query language and MS Access/Excel Query sufficient to write and execute extracts from ODBC database; working knowledge of relational database structure and functionality.
  
• General knowledge of web programming tools, i.e. ASP.net.