Adjunct Faculty - Big Data Analytics

Adjunct Faculty – Big Data Analytics

POSITION SUMMARY. Loras College invites applications for an adjunct faculty member to teach BAN 460 Big Data Analytics for the Spring 2027 semester beginning in January.

THE CLASS. BAN 460: Big Data Analytics introduces students to concepts behind the storage and analysis of the large and varied datasets that have become common in today's business environment. This includes the use of distributed computing to store and analyze these datasets in an efficient manner. Students will be introduced to a variety of tools used to analyze large datasets and learn how to use these tools in appropriate contexts.

The course is currently scheduled face-to-face on Tuesday evenings, but various teaching modalities are negotiable for the right candidate.

The successful faculty member will rigorously engage the students who are primarily Business Analytics, Computer and Data Science majors.

EDUCATION AND EXPERIENCE. A Masters or MBA in Analytics or a related Masters degree is required. Experience in the field is highly preferred. Prior teaching experience is preferred. Review of applications will begin immediately and will continue until the position is filled. For more information, please contact Dr. Eric Eller, Dean of the Noonan School of Business, Engineering,Innovation, [email protected] (563)-588-7202.

Additional qualifications include:

• Commitment to the College's mission and support for the Catholic liberal arts tradition
• Ability to carry out responsibilities of the position in support of the College's Catholic identity and mission and in support of Church teachings
• Effectiveness and excellence in teaching
• Ability to demonstrate knowledge of and communicate developments in the field to students and other constituencies

To apply, please go to**:** https://loras.applicantpool.com/jobs/ and upload a letter of interest, your curriculum vitae/resume, and the names and contact information of three references. References will not be contacted without prior approval from the candidate. The finalist will need to pass a background check before receiving a written employment offer.

Please visit www.loras.edu for additional information about Loras College.