Institutional Research Specialist (Analytics)

Payroll Title: UCP IX
Class Code: 0957-09089
Job Family: ADM
FLSA Code: E
Score: 663


Under the direction of the Assistant Vice Provost, or designee, proactively identifies, develops, and effectively communicates research and analytical studies to senior administrators to facilitate finding creative solutions of medium to long term issues facing the University.


Incumbents in this position are expected to independently perform complex analysis of data for University strategic planning.  The incumbent’s analysis should impact senior administration’s decisions regarding institutional-wide, high priority initiatives.


  1. Identify and develop research studies to understand the impact of emerging issues in higher education at the University of Connecticut
  2. Apply exploratory and predictive analytical techniques (clustering analysis, sequence detection, and neural networks, etc.) to understand trends and patterns in enrollment management, student academic success and experiences, and auxiliary enterprises
  3. Develop sensitivity analysis (what if analysis) and scenario analysis models to understand the impact of enrollment changes on university budget and finance, space allocation, and academic competitiveness
  4. Delivers final analysis to senior administration and related parties, exercising discretion in the selection of content, communication medium, and presentation
  5. Serves as a resource to senior administration on institution-wide reports and analysis
  6. Participates in the development of institutional research standards and protocols
  7. Stay at the forefront of emerging decision support issues in higher education by actively representing the University at conferences or meetings which may require overnight stays
  8. Serves on various University committees as needed or required
  9. Other related duties as assigned


  1. Master’s degree in quantitative disciplines such as Business Administration, Public Policy, Statistics, Educational Research, or a related discipline
  2. Five years full time professional experience of which two years must be in institutional research related area
  3. Considerable experience in using SPSS (Modeler and Statistics) or SAS (Enterprise Guide and Miner with Text Analytics) or other comparable statistical analysis program such as R for decision support
  4. Knowledge of programming in SQL, SAS or SPSS
  5. Experience of applied statistical analysis, such as clustering analysis, sequence detection, and neural networks, and research design methodologies
  6. Evidence of independent and creative thinking and writing on research and statistical problems
  7. Ability to work with data from multiple electronic sources
  8. Knowledge of business intelligence and reporting tools such as Tableau, WebFOCUS, Cognos or OBIEE
  9. Excellent communication skills, both verbal and written


  1. Doctoral degree in related area with one year of related experience
  2. Working knowledge of ERP such as PeopleSoft, SAP or Banner
  3. Knowledge of social media analytics and big data

Scored: 10/10/13