Dir Student Success & Research Analytics

at  University of Cincinnati

Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL
Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to over 50,000 students, 11,000 faculty and staff and 332,000 alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”
With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, nine straight years of record enrollment, global leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.65 billion and its endowment totals $1.8 billion.

REQUIRED EDUCATION

Bachelor’s Degree in relevent area of specialization.

REQUIRED EXPERIENCE

• Six (6) years of progressive experience working with data mining and sophisticated modeling of data-informed outcomes.
• Extensive experience in higher education, preferably in working with data from recruitment/admissions, scholarships, student success modeling, and/or other student records.
• Demonstrated knowledge of basic statistical concepts and programming language of analytical software, such as SQL, SAS, R, SPSS, or others.
• Experience building Tableau and/or Microsoft Power BI reports and dashboards.
• Demonstrated experience in data visualization and assisting others in understanding how to interpret data.
• Exceptional communication skills, including effective writing, public speaking, and persuasive competencies.
• Bachelor’s degree in a relevant area of specialization is required. Advanced degree is preferred.

ADDITIONAL QUALIFICATIONS CONSIDERED

• Advanced degree is preferred.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT

• Office environment/no specific unusual physical or environmental demands.

• Supervise high-performing team members with an intentional focus on developing and mentoring analysts to continue growing their technical skill sets and deepening their expertise in organizational data.
• Lead the advancement of data analytics and capacity building evaluation methodology by providing expertise in using mixed methods (quantitative/qualitative), survey methodology, and online data collection platforms (e.g., Qualtrics). Leverage analytic expertise to design data products to advance analyses and tools to create a best-in-class consulting product.
• Analyze trends using historical data, market trends, and other relevant bodies of information to create predictive enrollment models.
• Perform extensive data analysis.
• Models positive engagement in resolving conflict and elevates a focus on mission and what is best for the people we serve.
• Translates department strategy into SMART project goals and deliverables for teams and individuals. Cascades strategies and goals to all team members.
• Regularly create ad hoc reporting for the Assistant Vice Provost for Academic Analytics and the Vice Provost for Enrollment Management, related to enrollment, scholarships, and recruitment activities.