Adjunct Faculty - Analytics (Oakland)
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 Oakland campus. The College provides undergraduate, graduate, and doctoral education on campus and online across more than 90 programs. The role involves teaching analytics to global student populations. Instructional areas include probability and statistics, data exploration, data visualization, and predictive analytics. The Master of Professional Studies in Analytics develops foundational analytics skills among working professionals, including data preparation and analysis such as regression, forecasting, optimization, visualization, and data storytelling. The program prepares students for general entry- and mid-level analyst roles and emphasizes experiential learning linked to professional applications. Applicants should submit a cover letter and vitae. In the cover letter, candidates should explain how their expertise, knowledge, and skills prepare them to contribute to pedagogy and curriculum that foster belonging in the university community. Applications will be reviewed until the position is filled. Northeastern University will not provide employment visa sponsorship; the successful applicant must maintain valid U.S. work authorization throughout the appointment without university sponsorship.
Requirements
- Master’s degree in an aligned discipline.
- Analytics-industry experience.
- Demonstration of teaching, coaching, and/or training.
- Ability to maintain valid U.S. work authorization throughout the appointment without Northeastern University visa sponsorship.
Nice To Haves
- PhD in a sciences field, or similar.
- A history of successful graduate-level teaching online or on ground is strongly preferred.
Responsibilities
- Teach analytics to global student populations.
- Provide instruction in areas including probability and statistics, data exploration, data visualization, and predictive analytics.
- Support learning in data preparation and analysis, including regression, forecasting, optimization, data visualization, and data storytelling.
- Develop pedagogy and curriculum that reflect and enhance a commitment to fostering 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
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
