Assistant Professor - Business Analytics

Résumé du poste

The role involves designing and leading the BS in Business Analytics program, including curriculum development across data collection, storage, and analysis. Responsibilities include teaching 24 semester hours per year, pursuing a scholarly agenda, and advising students.

Détails du poste

EMPLOYER: Calvin University POSITION TITLE: Assistant Professor - Business Analytics HOURS / WEEK: 40 JOB SITE LOCATION: 3201 Burton Street SE, Grand Rapids, MI 49546 DUTIES: Calvin University seeks an Assistant Professor - Business Analytics based out of our campus at 3201 BURTON STREET SE, GRAND RAPIDS, MI 49546. This position does not require travel. Calvin University invites applicants for a full time Assistant Professor – Business Analytics within the School of Business. We desire an individual who is willing to form a vision for the future of our new BS in Business Analytics. This is an opportunity to provide leadership to holistically design a program that prepares future business professionals to strategically plan applying the full breadth of technologies for data collection (e.g. IoT, RFID, Social Media etc.), data storage (RDBMS, NoSQL), analysis from foundational statistical methods to machine learning and communication through written, oral and visual means (i.e. data visualization). In addition, we strive for a program that establishes a symbiotic relationship with a broad range of industries. Faculty Responsibilities Faculty members typically teach 24 semester hours per academic year. Faculty are expected to pursue an active scholarly agenda; to teach effectively; to advise students well; to serve the university, department, students, and the wider community; and to engage actively with professional associations and learned societies, e.g., Institute for Operations Research and the Management Sciences (INFORMS), Association for Computing Machinery (ACM), American Accounting Association (AAA), American Statistical Association (ASA) and The Academy of Management’s “Communication, Digital Technology, and Organization” (CTO) Division. MINIMUM REQUIREMENTS: Ph.D. (or foreign academic equivalent) in Business Analytics, Information Systems, Data Science, Business Statistics, or a related business discipline. Alternatively, Master's (or foreign academic equivalent) in Business Analytics, Information Systems, Data Science, Business Statistics, or a related business discipline and 5 years of experience in the job offered or related. Experience must include: Experience teaching at the Undergraduate or Master's level; experience with Enterprise Resource Planning; and experience with AI usage in Business. Any suitable combination of education, training, or experience is acceptable. OTHER: No travel required for this position. If offered employment must have legal right to work in U.S. FAITH and EDUCATIONAL COMMITMENT Commitment to the educational mission of Calvin as a Christian liberal arts university affiliated with the Christian Reformed Church. A commitment to the Christian faith and to the integration of faith, learning, and student development. DIVERSITY COMMITMENT Demonstrated awareness and commitment to effectively establishing relationships and positive communication across multiple dimensions of diversity including, but not limited to, race, gender, physical limitations, class, or religious perspectives.

Ce que vous ferez

The role involves designing and leading the BS in Business Analytics program, including curriculum development across data collection, storage, and analysis. Responsibilities include teaching 24 semester hours per year, pursuing a scholarly agenda, and advising students.

Exigences

Requires a Ph.D. in Business Analytics or a related field, or a Master's degree with 5 years of relevant experience. Candidates must have experience in undergraduate/master's level teaching, Enterprise Resource Planning, and AI usage in business.

Compétences indiquées

• Visualisation de données · Souhaitée
• Apprentissage automatique · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Business Analytics
• Data Collection
• Data Storage
• Statistical Methods
• Machine Learning
• Data Visualization
• Enterprise Resource Planning
• Artificial Intelligence
• Curriculum Design
• Academic Advising
• Teaching
• Scholarly Research

Domaines d’emploi

• Education
• Data & Analytics
• Management & Leadership
• Science & Research
• Administrative