Lecturer of Data Analytics

SUNY Geneseo
New York, United States
Salary Not specified
Apr 22, 2021
Employment Level
Non-Tenured Track
Employment Type
Full Time

The School of Business at SUNY Geneseo offers highly regarded majors in Accounting, Business Administration and Economics, along with minors in Finance, Marketing, Management and Data Analytics. We have a talented and diverse faculty, educated at some of the top universities in the world. Many faculty bring significant real world experience and accomplishments into their classrooms. School of Business students are diverse, intelligent, friendly and highly motivated. School of Business alumni are successful in many aspects of business, and enthusiastically support the School’s activities and programs. The overall atmosphere in the School of Business combines inclusion and collegiality with an unwavering focus on excellence.
For more information on what we can offer faculty visit: Academics at Geneseo (https://www.geneseo.edu/academics)

The School of Business at SUNY Geneseo invites applications for a lecturer in Data Analytics, to begin August 2021. The initial term will be for one year. Duties of the position include:
—Teach introductory undergraduate courses in Data Analytics including teaching Python and R
—Academic advising and mentoring of students

The School of Business at SUNY Geneseo is AACSB accredited and committed to both excellence in teaching and high-quality research.
Our priority at SUNY Geneseo is teaching excellence. We seek someone with a strong commitment to teaching. A commitment to working effectively with students from diverse backgrounds is essential. Among the goals of the search is increasing the diversity of the School of Business, and we therefore welcome applicants who are from groups that are historically underrepresented at the College.

Required Qualifications

• Master’s degree from an accredited institution in a field relevant to data analytics. Degree must be in hand by August 2021.
• Knowledge of Python and R.
• Knowledge of data analytic concepts and techniques.
• Demonstrated potential to teach undergraduate introductory courses in data analytics and economics.
• Evidence of commitment to the campus values of diversity and inclusion.
• Demonstrated commitment to excellence in undergraduate education, including advising and mentoring students.