About the Opportunity 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 of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs. Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University’s sponsorship for a visa. Responsibilities Qualified candidates must be prepared to work with global student populations. Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, , database management systems, leadership and risk management in analytics, business support and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis, forecasting, optimization, data visualization, and data storytelling. This degree prepares students for entry and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the workforce.
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Job Type
Part-time