Tenure Track Marketing Faculty Business Analytics

Responsibilities California State University, Los Angeles invites applicants for a full-time tenure-track faculty position in the area ofMarketing or a field related to Business Analytics. Start date of September 2016. - This dynamic position will have primary teaching responsibilities in quantitative analysis to provide customer and business insight. - Applicants must have excellent verbal and written communication skills in English; possess the ability to teach, connect and relate to our students and work in a diverse multiethnic multicultural environment. - Applicants must show evidence of, or potential for, excellence in teaching and student advisement as well as productive programs of scholarly research and commitment to service. - In addition to teaching, duties include student advisement/mentoring, engaging in scholarly activity, and committee service for the Department, College, and the University. As a University dedicated to engagement, service and the public good, the successful candidate will be expected to join faculty, staff, students and administrators in a commitment to these purposes.

Ideal Candidate - Candidates must possess a doctorate in Marketing or a field related to Business Analytics from an AACSB-accredited institution. - Possession of the appropriate terminal degree is required for employment. Record of or potential for scholarly activity, involving students whenever possible. - Applicants whose work incorporates the utilization of data science tools to provide customer and business insight as well as experience (research, teaching, and/or work experience) in business, data and text analytics using diverse technologies and tools will be a good fit for this position. - Those applicants having a strong quantitative background with applications to marketing and interdisciplinary areas are particularly encouraged to apply. - We seek individuals with demonstrated experience in quantitative analysis in the following areas: business analytics; predictive modeling; database marketing; data mining; market research, optimizing the customer experience across multiple channels and product lines. - The successful candidate will be able to teach business data analysis courses (e.g., theories, strategies, processes, methods, tools and applications) at the undergraduate and graduate levels. - Expertise developing new courses in data and predictive analytics is helpful and candidates who are experienced in teaching or delivering content-based marketing courses using technology (sales, internet, social media, mobile) will be given preference.