Assistant Professor of Business Intelligence & Analytics

ROCKHURST UNIVERSITY•Kansas City, MO

About The Position

The Department of Mathematics, Analytics and Technology in the College of Business and Technology and the Helzberg School of Management at Rockhurst University invite applications for a tenure-track Assistant Professor of Business Intelligence and Analytics beginning in August 2026. The Helzberg School of Management is AACSB accredited and the analytics programs are nationally ranked by U.S. News and World Report. Applicants must have a doctoral degree with a research and teaching focus on Data Science, Applied Statistics, Analytics, and Machine Learning. Candidates with a master’s degree may be considered for a non-tenure track or visiting position. Most classes are taught in R and Python. We welcome applicants with the ability to contribute to our Information Systems program, particularly in areas such as database management, systems analysis and design, enterprise systems, or applied programming. Responsibilities of this position include engaging in scholarship to maintain AACSB currency, active participation in university, school, and professional service, and teaching 18-21 credit hours per year including undergraduate and graduate classes. Potential classes include Business Intelligence, Statistics, Text Mining, Applied Data Mining, Programming for Analytics, and Big Data Analytics. We are searching for candidates with A strong commitment to actively engaging students in the learning process through innovative and equitable teaching practices (inquiry based/oriented learning, active learning, mastery-based grading, etc.) and a thorough use of technology. Demonstrated competency in delivery of online courses. Ability to look at problems through a business lens. Ability to remain informed about world affairs, global industry trends, and emerging developments in technology and pedagogy, and to integrate these perspectives into teaching and scholarly work. Ability to attract and recruit students from a wide range of backgrounds. The position begins in August 2026, and the salary is commensurate with skills and experience. The position offers a full benefits package. Review of applications will begin immediately and continue until the position is filled. To apply, submit to Rockhurst University's Human Resources using the online system the following documentation: (1) an application letter, (2) curriculum vitae, (3) names and contact information of three references with at least one able to address teaching, (4) one-page statement of teaching philosophy, and (5) a one-page research statement describing your research agenda, along with ideas of how you might support or facilitate student engagement in research. The application process requires a cover letter, salary requirements, and contact information for three references. Rockhurst cannot accept any application materials (resumes, cover letters, etc.) by email, mail, or walk-in. All applications and application materials must be submitted through our online application system. DISCLAIMER: The information presented indicates the general nature and level of work expected of employees in this classification. It is not designed to contain, nor is it to be interpreted as, a comprehensive inventory of all duties, responsibilities, qualifications, and objectives required of employees assigned to this job. Rockhurst University is an Equal Opportunity Employer and uses E-Verify. As an Equal Opportunity Employer, Rockhurst University is committed to creating a diverse working environment. The University recruits and employs successful candidates without regard to race, religion, gender, national origin, age, marital status, sexual orientation, and/or disability in employment, educational programs, or activities that it operates. In order to qualify as a candidate, you must be legally authorized to work in the United States. At this time Rockhurst is unable to sponsor or take over sponsorship of an employment visa.

Requirements

Doctoral degree with a research and teaching focus on Data Science, Applied Statistics, Analytics, and Machine Learning
Candidates with a master’s degree may be considered for a non-tenure track or visiting position
Most classes are taught in R and Python
Ability to contribute to our Information Systems program, particularly in areas such as database management, systems analysis and design, enterprise systems, or applied programming
A strong commitment to actively engaging students in the learning process through innovative and equitable teaching practices (inquiry based/oriented learning, active learning, mastery-based grading, etc.) and a thorough use of technology
Demonstrated competency in delivery of online courses
Ability to look at problems through a business lens
Ability to remain informed about world affairs, global industry trends, and emerging developments in technology and pedagogy, and to integrate these perspectives into teaching and scholarly work
Ability to attract and recruit students from a wide range of backgrounds
Legally authorized to work in the United States

Responsibilities

Engaging in scholarship to maintain AACSB currency
Active participation in university, school, and professional service
Teaching 18-21 credit hours per year including undergraduate and graduate classes