Department: Dept. of Learner Success-National & Global
Campus Location: Hybrid Schedule (1 day / month Onsite either at Indianapolis Ed Center or Marion, IN campus; the remaining time fully remote).
Summary of Position: The Director of Data Analytics serves as the Strategic Lead for data-driven retention interventions and intervention science within National & Global. Reporting directly to the Vice President of Learner Success, this individual contributor role is responsible for transforming complex student data from the institutional data lake into validated, causal insights that directly improve persistence and completion outcomes for adult online learners.
This position is distinguished by its focus on establishing causality in retention research. The Director applies advanced statistical approaches to move the division from descriptive dashboards to prescriptive, evidence-based action, functioning as the lead practitioner for "Actionable Analytics."
Duties and Responsibilities
Intervention Science and Causal Modeling
Leads the application of "gold standard" statistical methodologies to establish the causal efficacy of retention interventions
Designs and executes quasi-experimental studies using Propensity Score Matching (PSM) to simulate randomized control trials
Employs Survival Analysis (time-to-event modeling) to identify critical "danger zones" within the academic term where students are most likely to disengage
Utilizes Multi-level Modeling (MLM) to distinguish between student-level factors and systemic programmatic issues
Applies Structural Equation Modeling (SEM) to map relationships between latent psychosocial variables and observed outcomes like GPA and course completion
Student Success Intelligence Brief Publication
Serves as the primary author and strategist for the "Student Success Intelligence Brief," published every six weeks
Translates complex statistical findings into clear, actionable steps for faculty and leadership across the DeVoe School of Business, the School of Education, and the School of Service and Leadership
Provides high-level, program-segmented analysis of retention trends and provides "Go/No-Go" recommendations for scaling pilot initiatives
Psychosocial Metric Development and Validation
Operationalizes the integration of non-cognitive measures (Sense of Belonging, Academic Self-Efficacy, Help-Seeking Orientation) into the institutional data model
Develops and validates proprietary predictive scales that combine traditional academic indicators with psychosocial factors
Ensures that psychosocial triggers are embedded into CRM case records to enable targeted resource referrals by advisors
Data Integration and CRM/AI Collaboration
Serves as the primary functional liaison to IT and Salesforce teams to access and integrate data from the institutional data lake
Defines data requirements and validates data quality for the "Student Insights Agent" and other Agentic AI workflows
Ensures that early alert thresholds and "Next Best Action" prompts in Salesforce are grounded in empirically validated retention science rather than arbitrary rules
External Benchmarking and Thought Leadership
Benchmarks institutional retention outcomes against national standards for online adult learners (IPEDS, National Student Clearinghouse)
Represents the institution at national conferences (e.g., EDUCAUSE, AIR) to contribute to the scholarly conversation on student success science
Qualifications: According to Indiana Wesleyan University employment policy all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement.
Education
Required: Master’s degree in Data Science, Business Analytics, Statistics, Quantitative Psychology, or a related quantitative field
Preferred: Doctoral student (ABD - All But Dissertation) with a focus on causal inference, higher education research, or intervention science
Experience
Five or more (5+) years of progressive experience in data science, institutional research, or student success analytics
Proven track record of establishing causal relationships in educational or behavioral research
Experience working with adult learner populations in online or distance learning environments
Experience with CRM platforms (Salesforce Education Cloud strongly preferred)
Required Skills
Expert-level proficiency in PSM, Survival Analysis, MLM, and SEM
Advanced programming skills in R or Python for data manipulation and modeling
Proficiency in SQL and experience querying large, complex educational databases/data lakes
Strong ability to translate complex data into "Intelligence Briefs" for non-technical executive audiences
IWU Kingdom Diversity Statement
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
LIMITATIONS AND DISCLAIMER
As a religious educational institution operating under the auspices of The Wesleyan Church, Indiana Wesleyan University is permitted and reserves the right to prefer employees on the basis of religion (42 U.S.C., Sections 2000e-1 and 2000e-2).
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
Advertised: US Eastern Daylight Time Application close: US Eastern Daylight Time