Tenure Track Marketing Faculty Business Analytics

California State University

(Los Angeles, California)

Full Time

Job Posting Details

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.

Responsibilities

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.

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.