Adjunct Professor of Big Data Analytics

Adjunct Professor - BAN 460 Big Data Analytics (online)

Spring 2025

POSITION SUMMARY. Loras College invites applications for an adjunct professor to teach BAN 460 Big Data Analytics. Housed within the Noonan School of Business, Engineering, and Innovation, you will work with dedicated faculty members who are student-focused and collaborate across disciplines. The course will be delivered online, with the option of in-person/hybrid delivery. The course description can be found here.

Essential Job Functions/Responsibilities:

• Teach the assigned course as specified in the schedule and course contract.
• Participate in a welcome orientation to become familiar with the College's mission, academic policies and procedures, expectations, and Learning Management System, eLearn (Moodle).
• Clearly communicate course objectives and learning outcomes, teaching methodology, and assignments and deadlines.
• Employ a variety of teaching styles to effectively deliver course content demonstrating both academic and real-world applications of concepts covered.
• Encourage active learning through discussion topics, class assignments, group projects, etc.
• Provide feedback and grade assignments to students in a timely and thorough manner (within 24-48 hrs.).
• Outreach to students who are not attending synchronous class times, submitting assignments, or showing other evidence of active engagement in the class.
• Report early alerts for students who are not actively engaging in the course.
• Establish digital office hours to provide additional assistance with student questions/concerns.
• Ability to legally work in the US. Applicants who require sponsorship will not be considered.

Minimum Qualifications

• A Ph.D. or Master's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or another relevant field from a regionally accredited institution.
• Student-centered approach and passion for teaching and mentoring a diverse student population.
• Teaching experience in an online setting at a higher educational institution.
• Experience with assessment of student learning.
• Knowledge of and demonstrated experience with integrating instructional technology into classroom experiences.
• Ability to use learning management systems effectively to teach, assess, and communicate with students.

APPLICATION DEADLINE. Review of applications begins immediately and continues until the position is filled. Applications received by November 15, 2024 will receive full consideration. For more information contact the Dean of the Noonan School of Business, Engineering, and Innovation, William Hitchcock, William.Hitchcock@Loras.Edu, 563-588-7286.

APPLICATION PROCEDURE. Applicants must go to: http://loras.applicantpool.com/jobs/ to apply. Please upload your letter of application that explains your interest in and qualifications for the position, curriculum vitae, unofficial transcripts from advanced degree(s) awarded, and 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.

Loras College is an equal opportunity employer committed to creating an educational and work environment that is inclusive, rich in diversity, and supportive of all students, faculty, and staff. Individuals from diverse racial, ethnic, and cultural backgrounds, women, veterans, and persons with disabilities are strongly encouraged to apply. Please visit www.loras.edu for additional information about Loras College.