Part Time Lecturer - Analytics (Miami)
About The Position
The College of Professional Studies at Northeastern University invites applications for a non-tenure-track, part-time faculty lecturer in Analytics on the Miami campus. The College provides undergraduate, graduate, and doctoral education on campus and online across more than 90 programs. The lecturer will teach analytics to global student populations. Instruction may cover probability and statistics, data exploration and visualization, database management systems, leadership and risk management in analytics, business support, and predictive analytics. The Master of Professional Studies in Analytics develops foundational skills for working professionals, including data preparation and analysis, forecasting, optimization, visualization, and data storytelling. The program emphasizes experiential learning linked to professional applications and prepares students for general entry- and mid-level analytics roles. Applicants should submit a cover letter and vitae. In the cover letter, candidates should describe how their expertise, knowledge, and skills prepare them to contribute to teaching and curriculum that foster belonging in the university community. Applications will be reviewed until the position is filled. Northeastern will not sponsor an employment visa; the successful applicant must maintain valid U.S. work authorization throughout the appointment without university sponsorship.
Requirements
- A master's degree in an aligned discipline.
- Analytics-industry experience.
- Demonstrated teaching, coaching, and/or training.
- Ability to maintain valid U.S. work authorization throughout the appointment without Northeastern University visa sponsorship.
Nice To Haves
- A PhD in a sciences field or similar.
- A history of successful graduate-level teaching, online or on ground.
Responsibilities
- Teach in the Analytics program, with instructional areas that may include probability and statistics, data exploration, data visualization, database management systems, leadership and risk management in analytics, business support, and predictive analytics.
- Work with global student populations.
- Contribute to teaching and curriculum that support belonging in the university community.
Benefits
- Medical insurance
- Vision insurance
- Dental insurance
- Paid time off
- Tuition assistance
- Wellness and life benefits
- Retirement benefits
- Commuting and transportation benefits
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Entry Level
