Business Analytics & Statistics

Non-Tenure Track Lecturer


The Haslam College of Business at the University of Tennessee, Knoxville invites applications and nominations for one or more full-time, renewable, non-tenure track Lecturer positions in the Department of Business Analytics and Statistics starting August 1, 2019. The primary responsibilities of the position will be teaching undergraduate classes, curriculum development and refinement, committee service, and helping students outside of the classroom enhance their skills. The Knoxville campus of the University of Tennessee is seeking candidates who have the ability to contribute in meaningful ways to the diversity and intercultural goals of the University. 


The position requires a Master’s degree in Statistics, Data Science, Business Analytics, or a closely related field (or foreign equivalent), demonstrated evidence of successful prior teaching at the undergraduate level or higher, and successful completion of a background check.

Program Information

The Department of Business Analytics and Statistics ( is one of seven departments within the Haslam College of Business at the University of Tennessee. The Department has a mission that includes excellence in research, teaching, and service, while working within the frameworks of the College’s overall mission. Business Analytics and Statistics is a very popular and fast-growing undergraduate major, concentration and collateral at the University of Tennessee. The Department also offers degree programs at the master’s and doctoral levels.

Current course offerings through the Department at the undergraduate level include Regression Modeling, Data Mining and Machine Learning, Statistical Programming, Experimental Methods and Process Improvement, Time Series Analysis, Statistical Methods, and Search Engine Marketing. Our major features an R-based curriculum (with additional software such as JMP, Tableau, Excel), with Python being introduced in the near future. Candidates with recent teaching experience in two or more of these subject matters, with a strong foundation in statistical programming with R/Python or visualization techniques in Tableau, and/or with practical industry experience are especially encouraged to apply.

The Department also hosts a bi-annual Business Analytics Forum which draws representatives from companies across the country. The Department values a collegial environment where faculty members work well with each other and with students. The Masters in Business Analytics Program is the recipient of the 2018 INFORMS UPS George D. Smith Prize.


Knoxville, Tennessee is the gateway to the Smoky Mountains and is frequently listed as one of the “Best Places to Live” based on the low cost of living and abundance of outdoor activities. Knoxville, nestled in the foothills of the Great Smoky Mountains, has a metropolitan statistical area population of over 850,000 people. This moderate-sized city has a vibrant nightlife that includes numerous theaters and museums, traditional bluegrass music, world-class restaurants, lots of cultural festivals, and a downtown market square to name a few examples.

Application Procedure

Qualified individuals should send a complete application package (in pdf format) to Dr. Adam Petrie, Chair of the Faculty Search Committee, c/o The application package should include a cover letter indicating interest, a curriculum vitae, statement of teaching philosophy, evidence of successful prior teaching (course materials, teaching evaluations, etc.), and contact information for three (3) references. These letters can be sent separately (electronically) to the search committee at or to the search chair at The University of Tennessee, 916 Volunteer Blvd., 235 Stokely Management Center, Knoxville, TN 37996-0532. Applications will be accepted until the position is filled, but candidates are requested to apply by Jan 15, 2019. For further information, please contact ( or 865-974-4116).

The University of Tennessee is an EEO/AA/Title VI / Title IX / Section 504 / ADA / ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.