Principal Quantitative Research Analyst - Research Analysis Specialist Sr

Salary Range: $32.97 - $48.60 hourly.

Minimum Qualifications: Three (3) years of professional experience conducting research, evaluation, and analysis using quantitative research methods, inferential statistical techniques, or other analytical methodologies (A graduate degree may substitute for 18 months of experience, a bachelor's degree for 12 months, and an associate's degree for 6 months) 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.

Preferred: Qualification: 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.