Part Time Lecturer - Analytics (Portland)

Northeastern University•Portland, ME

2d•Onsite

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 Portland campus. The lecturer will teach students in the Master of Professional Studies in Analytics program, which develops foundational analytics skills among working professionals through experiential learning connected to professional applications. Instructional topics may include probability and statistics, data exploration and visualization, database management systems, leadership and risk management in analytics, business support, and predictive analytics. The program prepares students for general entry- and mid-level analyst roles across professional domains. Applicants must hold a master’s degree in an aligned discipline and have analytics-industry experience. Demonstration of teaching, coaching, and/or training is required; a history of successful graduate-level teaching online or on campus is strongly preferred. The university seeks dynamic and innovative scholars with teaching excellence and a commitment to fostering belonging, including through pedagogy and curriculum. Applicants should submit a cover letter and vitae. Northeastern University does not provide employment visa sponsorship for this position, and the successful applicant must maintain U.S. work authorization throughout the appointment without university sponsorship. Applications will be reviewed until the position is filled. The rate is $2,086.44 per credit.

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

Ph.D. in a sciences field, or similar.
History of successful graduate-level teaching online or on campus.

Responsibilities

Teach in the Master of Professional Studies in Analytics program.
Work with global student populations.
Provide instruction in analytics subjects, including areas such as probability and statistics, data exploration, data visualization, database management systems, leadership and risk management in analytics, business support, and predictive analytics.
Support the program’s experiential-learning mission and development of foundational analytics skills, including data preparation, analysis, forecasting, optimization, visualization, and data storytelling.
Build pedagogy and curriculum in ways that reflect and enhance belonging in the university community.