Graduate degree in education, economics, psychometrics, sociology, statistics, or related field; Demonstrated experience with advanced quantitative research methods, inferential statistical techniques, evaluation methodologies, predictive analytics, artificial intelligence, machine learning, or other emerging analytical methods; Proficiency with advanced analytical, statistical, and data visualization tools such as SQL, Power BI, R, Python, SPSS, or similar technologies; Demonstrated experience working with higher education data systems and reporting environments to conduct research, evaluation, or analysis involving common measures of student success, enrollment, persistence, completion, transfer, and institutional performance; Demonstrated experience partnering with stakeholders to identify information needs, frame research or evaluation questions, facilitate discussion and inquiry, interpret findings, and apply evidence to planning, evaluation, or improvement efforts; Demonstrated experience promoting responsible use of data and evidence through methodological transparency, privacy protection, effective communication of assumptions, limitations, and caveats, and application of equity-minded inquiry to research and evaluation activities; Demonstrated experience leading complex research, evaluation, or analytical projects involving multiple stakeholders, competing priorities, and concurrent deadlines; Application Details. Knowledge of quantitative research design, evaluation methodologies, and statistical analysis sufficient to select and apply appropriate analytical approaches; Proficiency with data management concepts and tools, including data validation, documentation, and quality assurance practices; Demonstrated ability to generate effective data visualizations and communicate analytical findings to diverse audiences; Excellent organizational skills and strong attention to detail and accuracy of information; Demonstrated ability to communicate complex technical information, facilitate discussion, and support shared understanding among diverse audiences.