Adjunct - Marketing Analytics

The Department of Management at Webster University in St. Louis, Missouri, is seeking an experienced and motivated Adjunct Professor to teach a graduate-level course in Marketing Analytics. The ideal candidate will have expertise in using Excel, R, and other data analysis tools to conduct various analyses, such as regression, optimization, MDS analysis, conjoint analysis, bundling analysis, and clustering analysis as well as data preparation and visualization. The primary goal of the course is to teach students how to use data analysis techniques to provide insights and make marketing related strategic decisions.

Prepare and deliver graduate-level courses in Marketing Analytics based on the course learning outcomes and syllabus.

Teach students how to use Excel, R, and other data analysis tools to conduct various analyses

Develop and deliver lectures, assignments, and assessments that align with course objectives

Provide timely and constructive feedback to students on their assignments and assessments

Advise and mentor students on research projects related to Marketing Analytics

Stay up-to-date with the latest developments in Marketing Analytics and incorporate them into the course material

Collaborate with other faculty members to make revisions to the Marketing Analytics course in order to maintain relevancy and continue improving it.

Graduate level courses typically meet one evening per week for nine weeks.

A master's degree

• in Marketing, Statistics, or a related field

Strong expertise in using Excel and R to conduct various analyses as listed.

Strong communication and presentation skills

A commitment to student success and the ability to motivate and inspire students to learn