Job Information
Grandview College Assistant Professor of Analytics in Des Moines, Iowa
Assistant Professor of Analytics
Department: Faculty
Location: Des Moines, IA
Grand View University aspires to serve a diverse community of learners- students, faculty, and staff- in an inclusive and equitable environment with the goal of empowering all to achieve their fullest potential. Our objective is to sustain a campus environment that is free from the power imbalances and institutional biases that contribute to systems of oppression, while preparing our students to stand against those inequities when they leave Grand View.
Grand View University is dedicated to the goal of an inclusive campus where people of diverse identities feel welcomed and empowered to shape our culture and processes. At Grand View University we view diversity through the collective or group and we welcome and affirm the thoughts and experiences each distinct member brings to our community of learners.
To learn more about Grand View-s commitment to diversity, and to read our entire Diversity Statement, click on this link: https://www.grandview.edu/about/diversity
POSITION: ASSISTANT PROFESSOR OF ANALYTICS
EFFECTIVE START DATE: Fall 2024
MINIMUM QUALIFICATIONS:
Master-s degree in a discipline directly related to data analytics (e.g. statistics, computer science, data science, data modeling, predictive analytics) from an accredited university plus 3+ years of industry experience in Analytics/Data Science. Candidates must be able to develop and teach courses within the analytic disciplines at the undergraduate and graduate level.
DESIRED/PREFERRED QUALIFICATIONS:
Preference will be given to candidates who possess a Ph.D. or Doctorate in a discipline directly related to data analytics from an accredited university. While ABD-s close to completion will be considered, preference will be given to candidates who have completed all requirements for the Ph.D., have an established record of quality teaching and research, and have teaching experience using the latest instructional technology.
Candidates should be able to demonstrate experience and expertise in the application of data analytics to contemporary business problems, including the collection, organization, extraction of data from complex databases, and communication. Ideally candidates should be able to show competency in multiple programming languages, statistical analysis software, and/or other analytics tools.
DUTIES: The successful candidate will develop and teach courses within the analytic discipline. Courses taught will be at both the undergraduate level and at the graduate level as assigned, to qualified individuals. Courses may be taught during the traditional day format as well as evening/online/blended formats as assigned. The successful candidate may be asked to engage in interdisciplinary teaching outside the academic department.
The successful candidate will be expected to advise undergraduate and graduate students, participate in faculty committee work and faculty development, and engage in scholarship as well as service to the broader community.
Candidates must be able to communicate effectively and work cooperatively with departmental colleagues in an ethnically and culturally diverse campus community.
APPLICATION: Review of applications will commence immediately. Position(s) open until filled, contingent on funding. All applications must include a letter of application, curriculum vitae, statement of teaching philosophy and scholarship interests that address the above minimum and desired/preferred qualifications, copies of all transcripts that include relevant course work. Three different reference letters, names and contact information must be provided. Applications and/or requests for information should be addressed to:
Dr. Shannon Juergens
Business Department
All applicants must apply through our online application system.
Grand View University is an equal opportunity employer. The University has a strong commitment to the principles of diversity and, in that spirit, seeks a broad spectrum of candidates, including women, members of minority groups, and people with disabilities.
A pre-employment background check is required.
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