Assistant Director of Analytics & Research
Company: University of La Verne
Location: La Verne
Posted on: April 1, 2026
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Job Description:
Job Description Summary The Assistant Director for Data
Analytics and Research is principally responsible for all
analytical and reporting duties held by the Office of Financial Aid
and/or the Enrollment Management Division. Reporting to the Office
of Financial Aid, the Assistant Director will develop datasets,
perform analysis on student data and outcomes, produce data
visualizations and written reports for stakeholders and leadership,
and support the strategic aims of the Enrollment Management
mission. The incumbent will likewise collaborate extensively with
other data owners and reporting teams, including but not limited to
Marketing & Communications, Institutional Research & Effectiveness,
and Information Technology, to report student data to external
entities. As a member of the Office of Financial Aid, the incumbent
will adhere to the highest standard of data security, integrity,
and privacy. Analytics: Builds and maintains data sets, manages
data integrity and extractions, performs statistical analysis of
quantitative (e.g., multivariate regression, time series analysis,
clustering and classification modeling) and qualitative (e.g.,
thematic analysis, narrative analysis), and interprets results to
answer complex research questions. Analytical duties to include aid
modeling for all university student populations (e.g., first time
undergraduates, transfers, non-traditional undergraduates, graduate
and professional program students, etc.); enrollment melt,
attrition and retention modeling; and post-cycle analysis of
recruitment strategy effectiveness. Reporting: Under the
supervision of the Director of Financial Aid, and in collaboration
with other University reporting teams, including but not limited to
Institutional Research, Marketing & Communications, Student
Accounts, etc., compile and report all required student financial
aid data elements. Primary responsibility to represent the Office
of Financial Aid on such major reports as the Common Data Set, NCAA
Division III , US News & World Report, Peterson’s and other
external publications, as well as student aid specific reporting
such as the Fiscal Operations and Application to Participate (
FISAP ), annual IPEDS survey, California state SB70, Gainful
Employment and Financial Value Transparency (GE/ FVT ), and various
Department of Defense/Veterans Administration surveys. Data
visualization: Utilizing institutionally managed tools such as
Cognos and PowerBI, create and maintain financial aid dashboards
and reports for consumption by University staff, leadership, and
Board of Trustees, to inform strategic decisions and workload
planning for the University. Develop data visualizations to
represent outcomes of data analysis, including presenting and/or
disseminating those findings to University constituents and
stakeholders. Research Initiatives: In collaboration with the
Directors of Financial Aid and Admissions Operations, define
problem spaces and research objectives, scope and design
observational and experimental studies (e.g., analysis of student
data, surveys, interviews, etc.) and develop, plan, implement and
evaluate research operations protocol and data collection efforts,
including the creation and administration of surveys, to ensure
quality and efficiency of future reseach. Support strategic
planning and the informed decision-making process. Staff
Development: Maintain currency on methodologies and philosophies in
use for Strategic Enrollment Management, as well as personal
knowledge of statistical tools and reporting techniques in order to
maximize effectiveness of research efforts. Assist in the
cross-training of other staff members as appropriate, under the
guidance of the Director of Financial Aid. Other duties as
assigned. Minimum Qualifications Prior experience in higher
education within the enrollment management, student financial aid,
or institutional research disciplines — 2 years Substantial
knowledge and experience with data analytics and statistical
methods — 2 years Prior experience in higher education is required.
Knowledge of statistical methods and tools, such as SPSS , STATA ,
and Excel Intermediate proficiency with supportive programming
languages, such as SQL , Python, and R Ability to analyze, compile,
and present data and research in appropriate formats. Preferred
Qualifications Master’s degree in computer science, data analytics,
or social science-related field with an emphasis in research
methodology is preferred. Prior experience in supervising the work
of others, whether formally or informally defined.
Keywords: University of La Verne, Pico Rivera , Assistant Director of Analytics & Research, Education / Teaching , La Verne, California
