Adjunct Instructor - Business Statistics

Student-centric. Fast-paced. Collaborative. Innovative. These are all words used to describe the Bellevue University work experience (www.Bellevue.edu). We are an innovative institution providing career-relevant degrees through a variety of in-class and online learning formats to a diverse student population from high school graduates and community college transfers, to working adults and corporate learning partners and a growing international student population.

Bellevue University is seeking highly-engaged adjunct faculty who are skilled in delivering impactful teaching and learning experiences. Strong faculty engagement is extremely important to students' academic performance, their engagement in the workplace, and their long-term well-being. Individuals who are committed to strong faculty engagement and have a passion for delivering innovative teaching and learning experiences are encouraged to apply.

Bellevue University offers quality liberal arts and career-oriented programs at undergraduate and graduate levels to a diverse student body through in-class and online venues. We emphasize teaching excellence, cyber-active learning, and interactive education. We are currently accepting resumes/vitae for residential-onlyAdjunct Faculty -- Business Statistics, to teach courses face to face in Bellevue, Nebraska.

Primary Area of Interest: Business statistics and analytics

Degree: Doctorate or equivalent

Degree Area: Business statistics and analytics

Location: Bellevue Main.

Qualifications:

• The adjunct faculty member will be teaching Business statistics and analytics classes.


• Applicants should have extensive experience in business statistics, including descriptive statistics, probability distributions, sampling & estimate, statistical inference, and regression. Additional a working knowledge of analytics and common methods of descriptive analytics, prescriptive analytics, and predictive analytics.


• Strong Excel skills with specific knowledge of the Data Analysis Toolkit, Pivot Tables, and Model development. Working knowledge of R or Python would be helpful.


• Areas of specialization for applicants should include Business statistics and analytics with 18 graduate credit hours in Statistics.


• Applicants should be able to demonstrate developed teaching skills along with a strong evaluation record.

NOTE: The statements above are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties and skills required of this job. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

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