Sr Institutional Researcher

Sr Institutional Researcher

Requisition ID req35948 Working Title Sr Institutional Researcher Position Grade 14 Position Summary

Reporting to the Director for the Office of Institutional Analytics, with a dotted line to the Center for Teaching and Learning (CTL) Executive Director, this Institutional Researcher collects, develops, analyzes, communicates, and consults on a wide range of institutional data and other information to constituents throughout the university, to support and enhance informed decision-making, problem solving, strategic planning, policy development, and institutional self-assessment. Performs applied research and designs, executes, and evaluates wide-ranging analytical and statistical studies and/or institutional self-assessments. Operationalizes predictive and diagnostic models, design and manage data pipelines, and translate complex analyses into actionable insights that inform policy, pedagogy, and CTL programing. Designs and manages information systems and databases to support institutional research activities. Provides functional leadership, training, and guidance to other researchers, as appropriate.

This is a full-time, benefits eligible position that works onsite at the UNM Main (Albuquerque) Campus.

Note: This position is a joint appointment between the UNM Office of Institutional Analytics and the Center for Teaching and Learning (CTL). The successful candidate will need to RESIDE in Albuquerque, New Mexico before the start date. A hybrid work arrangement is possible, with at least 2 working days completed on the Albuquerque campus per week.

Interested candidates should submit a resume and cover letter for consideration. The cover letter should address your experience and career goals as a Data Analyst in the university setting. Your application will not be considered without a cover letter.

Candidates selected for an interview will be asked to prepare a presentation. Within the presentation, we would like to understand your problem-solving, technical, and communication skills. Instructions will be provided with the interview materials.

Duties and Responsibilities

1.       Acquires, manipulates, develops, and maintains longitudinal data sets, verifying accuracy and consistency over time, in the context of evolving requirements regarding reporting institutional facts.

2.       Conducts and/or consults on a wide variety of university survey research efforts; participates in and advises on survey construction, objectives and rationale, development of survey instruments, and design of survey protocol and procedures.

3.       Performs and/or advises on data reduction, statistical analysis of data, and interpretation of results; prepares or participates in the preparation and presentation of formal research reports, using R, SQL, Python, or other statistical analysis software.

4.       Prepares institutional responses to internal and/or external queries such as CTL usage metrics, student success outcomes, etc.

5.       Designs, executes, analyzes, communicates, and consults on the results of ongoing and one-time analytical studies using appropriate inferential statistics.

6.       Represents CTL and OIA in ad hoc committees, meetings, conferences, and task forces, as assigned.

7.       Provides functional direction to lower-level technicians on assigned work. May supervise student employees.

8.       Organizes and facilitates data literacy training and workshops for staff, faculty, and students.

9.       Performs miscellaneous job-related duties as assigned.

Knowledge, Skills and Abilities Required

·         Knowledge of data collection for higher education settings including assessments of retention and other academic success metrics

·         Proficiency with developing, designing and maintaining dynamic dashboards and visualizations, SPECIFICALLY Tableau and Power BI that communicate complex information to faculty, staff, and administrators.

·         Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community.

·         Knowledge of higher education planning methods, processes, systems, reporting, and databases.

·         Experience conducting quantitative and qualitative analyses—such as regression, hypothesis testing, and longitudinal modeling—to evaluate teaching, tutoring, and instructional interventions.

·         Experience developing, testing, and refining statistical and machine learning mo