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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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the following: Teach graduate and undergraduate courses in information systems and business analytics in the Neil Griffin College of Business, including courses such as Management Information Systems and Business
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, machine learning, and other advanced analytic processes as well as clinical and domain experts. Additional expertise in software such as Git and databases will be important for successful creation
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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
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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simulation-based mastery learning programs. Working independently or under general direction from the Principal Investigator, the Data Analyst manages complex analytic and reporting workflows across multiple
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 23 hours ago
of Openings: est. 2 Lecture Sections: TU & TH 7:00pm-9:00pm Course Description: The course lays the foundation of business data analytics and its application to Management. Using state-of-the-art computational
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strategic aspects of leading analytics functions. Students learn to design data governance frameworks, build high-performing data teams, and align analytics strategy with business and sustainability goals
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/or academic data. Experience supporting planning, forecasting, or resource allocation processes. Brief Description of Duties: The Senior Data & Planning Analyst provides advanced analytical and data
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mathematics. Relevant areas of expertise include data structures, artificial intelligence and machine learning, data mining, databases, data modeling, data ethics, corporate or business analytics, as