Coordinator of Quantitative Academic Support

Office of the Provost

SUPERVISION RECEIVED: Director of Center for Learning Resources

SUPERVISION EXERCISED: Undergraduate and Graduate Student Workers

Who We Are:

The University of New Haven, founded on the Yale campus in 1920, is a private, coeducational university that has been recognized by The Princeton Review and U.S. News & World Report for academic excellence. Located between New York City and Boston in the shoreline city of West Haven, the University is a diverse and vibrant community of nearly 10,000 students from across the globe. Within its five colleges, students immerse themselves in a transformative, career-focused education across the liberal arts and sciences, fine arts, business, engineering, public safety and public service. More than 100 academic programs are offered, all grounded in a long-standing commitment to collaborative, interdisciplinary, project-based learning.

You Will:

• Oversee statistical and analytical tutors, and working one-on-one with graduate students on long-term statistical and data-driven projects
• Provide tutoring and workshops in R, C/C++, Python, Excel, PowerBI, Tableau, and other statistical and computer-based skills
• Facilitate workshops through Center for Learning Resources, Center for Teaching Excellence and/or the Center for Student Success on best practices in quantitative learning
• Coordinate with the Provost's Office to identify additional areas of need
• In collaboration with other CLR employees, coordinated learning assistants in quantitative courses where appropriate
• In collaboration with other CLR employees, help manage Navigate student messaging and tracking
• In collaboration with other CLR employees, process utilization data to provide recommendations on future course support and staffing, and assess the effectiveness of implemented support services
• Performs miscellaneous job-related duties as assigned.

And...

• In collaboration in other CLR employees, provide general oversight to all tutors during open hours
• Assist in maintain the facility, including submitting facilities and IT reports as needed and monitoring their completion
• Help prepare for and staff tabling events, summer programs, and represent the CLR during accepted student days, open houses, convocations, and campus tours
• Attend all staff meetings and assist in presentation of material to staff and students

You Have:

• Master's degree in a STEM or other quantitative field preferred; Bachelor's qith significant work experience required
• Demonstrated relevant experience in higher education and/or academic support
• Demonstrated ability to develop and maintain good working relationships with faculty
• Demonstrated ability with database software, intermediate data analysis, visual representation of data and knowledge of statistical software
• Demonstrated ability with R, C/C++, Python, Excel, PowerBI, Tableau;
• Demonstrated strong organizational, writing and interpersonal communication skills
• Ability to learn and use new technology
• Ability to work flexible hours
• Ability to work independently
• Demonstrated sensitivity to and respect for diverse populations

What’s In It For You:

• Health & Welfare Programs: Employees and their eligible family members, including spouses and dependent are eligible for Medical, Dental, Vision and Life Programs.

• Wellness & Fitness: On-campus Recreation and Fitness Center for employees and families; Employee Assistant Program

• Commitment to Educational Excellence: Tuition assistance for employees and eligible dependents; Tuition exchange opportunities

• Employee Discounts on products, services and educational opportunities

• Work/Life Benefits: Generous paid time off programs; progressive paid holiday schedule (including holiday break between Christmas and New Year’s); 4 weeks of parental paid leave; flexible work schedules including summer hours where applicable

*The University of New Haven is not a qualifying E-Verify employer and its use of E-Verify is limited to specific government projects. For that reason, candidates with STEP OPT authorization cannot be considered for employment.