Using standard statistical tools and vendor-provided analytics systems, the Data Scientist and Statistical Analyst will help to support campus stakeholders with the development and assessment of our student success initiatives.  Specific duties include: 

• Support and conduct projects that increase graduation and retention rates, reduce time to degree, support improved academic advising, and improve student learning and course performance;
• Help improve our ability to assess the outcomes of strategic planning decisions by supporting the development of business intelligence dashboards that monitor strategic goals and key performance indicators;
• Work with campus stakeholders to identify, prioritize, and conduct analytical projects that support the university’s mission, goals, and strategic plan;
• Use appropriate data and methods to uncover fact patterns and test hypotheses that support progress towards campus goals;
• Prepare high-quality and clear written reports, exhibits, and visualizations that present and interpret findings;
• Work with campus stakeholders to improve data quality and usefulness, including support of the development of business intelligence dashboards that monitor strategic goals and key performance indicators;
• Support, operationalize and assess our student success initiatives including supporting committees charged with student success and persistence and the development and assessment of student advising tools, case management tools, nudging campaigns, and first-year alerts;
• Support the implementation, training, and effective use of vendor-provided analytics systems;
• Support collaborative, innovative, use of learning analytics tools;
• Perform other duties as assigned.

Requires a Bachelor's degree in economics, sociology, psychology, public policy, or other fields with related analytical competencies. It is essential that candidates have the experience and ability to conduct and interpret the results of statistical analysis and to produce appropriate, high-quality presentations and visualizations of the data for senior leadership.  The ability to move data between platforms and software is essential.  Candidates must have excellent writing, communication, organizational, and professional skills.

Master’s degree preferred.  Candidates pursuing or holding doctorates will receive strong consideration. Strong candidates will have experience, either professional or educational, in applied econometrics and statistics, as well as demonstrated training or skills in the preparation of data for analysis and presentation.   Some experience with predictive modeling algorithms is a plus. Experience with SQL, SAS, STATA, or R is a plus.   

Please upload a resume, cover letter, and a list of three professional references (including current telephone numbers and e-mail addresses) with your application.