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Search for University Jobs in Business

Job ID: 250593

Assistant Professor of Business Analytics (Tenure Track)
Old Dominion University


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Date Posted Dec. 18, 2024
Title Assistant Professor of Business Analytics (Tenure Track)
University Old Dominion University
Norfolk, VA, United States
Department MIS/DECISION SCIENCES
Application Deadline Open until filled
Position Start Date Available immediately
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  • https://jobs.odu.edu/postings/22390
  • Assistant Professor
  • Business - General
 
 

Job Description

The Strome College of Business at Old Dominion University seeks highly qualified applicants for a tenure track Assistant Professor position in the Department of Information Technology & Decision Sciences beginning July 25, 2025. This Assistant Professor will teach a variety of Business Analytics, Business Statistics, Management Science, and Operations Management courses.

 

Position Type

FullTime

 

Type of Recruitment

General Public

Minimum required education and/or special licenses, registrations, trainings, or certifications

Applicants must have a Ph.D. degree with an emphasis in Business Analytics, Management Sciences, Business Statistics, Operations Management, or a related field from an AACSB accredited business school.

Ph.D. student applicants in an All-but-Dissertation (ABD) status will be considered, if and only if they will receive a qualified Ph.D. degree before the time of appointment.

 

Minimum required level and type of experience, knowledge, skills, and abilities

    1. Capability of teaching courses in the fields described in the Job Description
    2. Ability to publish research articles in high-quality academic journals.
    3. Excellent oral and written communication skills.
 

Preferred Qualifications

  • Accepted /published articles or with a well-established research pipeline;
  • Prior publications in high-quality research journals or other evidence of research potential;
  • Previous teaching experience in business analytics, operations management, and supply chain management at the college level;
  • Proficiency in Excel, R, data mining tools, mathematical programming software, data analytics, and related areas;
  • Interest in industry and/or business community engagement experience.

 
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Contact Information

 
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