Untdallas
Lecturer - Business Analytics
Untdallas, Dallas, Texas, United States, 75215
Title:
Lecturer - Business Analytics
Employee Classification:
Lecturer
Campus:
University of North Texas - Dallas
Division:
DAL-Academic Aff & Stdnt Success
SubDivision-Department:
DAL-School of Business
Department:
DAL-School of Business Faculty-516100
Job Location:
Dallas
Salary:
FTE:
1.000000
Retirement Eligibility:
ORP Eligible
Position Overview
The University of North Texas at Dallas (UNT Dallas) School of Business invites applications for a Lecturer of Business Analytics position starting in Fall 2024. Teaching interests in business analytics are encouraged to apply. Individuals with specific interests and experience in decision science, data science, and information systems are strongly encouraged to apply. This position will teach a range of topics and levels of undergraduate courses related to business analytics and information systems.
Minimum Qualifications
An earned master’s degree in a business field with at least 18 graduate hours in analytics, decision sciences, data science, information systems, or a related discipline.
Demonstrated ability to teach undergraduate courses in analytics, decision science, data science, business information systems, or a related discipline. A particular ability in decision science and data science is preferred.
Demonstrated effective writing and verbal communication skills.
Evidence of ability to contribute to the positive culture of our school, university, and community.
Knowledge, Skills and Abilities
Academic experience working on a campus with culturally diverse students, staff and faculty.
Experience in working with industry-standard tools and programming languages for analytics.
Preferred Qualifications
A doctoral degree in business specializing in analytics, decision science, data science, information systems, or related discipline from an AACSB-accredited school.
Experience teaching introductory undergraduate business statistics and upper-level courses in decision sciences, data sciences, and business analytics.
Experience using technology in teaching and experiences teaching in multiple modalities (i.e., hybrid, online, and on-ground courses).
Proficiency in industry-standard tools, databases SQL (with experience in databases like Oracle, MySQL, MongoDB, etc.), NoSQL (JASON, XML, YAML, ETC.), and programming languages for analytics including not limited to R, Python (with a focus on libraries such as NumPy and Pandas), and visualization software Tableau and Microsoft Power BI.
Job Duties:
Work Schedule:
Class Schedules Vary
Driving University Vehicle:
No
Security Sensitive:
This is a Security Sensitive Position.
Special Instructions:
Benefits:
For information regarding our Benefits, click
here .
EEO Statement:
The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices.
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Lecturer - Business Analytics
Employee Classification:
Lecturer
Campus:
University of North Texas - Dallas
Division:
DAL-Academic Aff & Stdnt Success
SubDivision-Department:
DAL-School of Business
Department:
DAL-School of Business Faculty-516100
Job Location:
Dallas
Salary:
FTE:
1.000000
Retirement Eligibility:
ORP Eligible
Position Overview
The University of North Texas at Dallas (UNT Dallas) School of Business invites applications for a Lecturer of Business Analytics position starting in Fall 2024. Teaching interests in business analytics are encouraged to apply. Individuals with specific interests and experience in decision science, data science, and information systems are strongly encouraged to apply. This position will teach a range of topics and levels of undergraduate courses related to business analytics and information systems.
Minimum Qualifications
An earned master’s degree in a business field with at least 18 graduate hours in analytics, decision sciences, data science, information systems, or a related discipline.
Demonstrated ability to teach undergraduate courses in analytics, decision science, data science, business information systems, or a related discipline. A particular ability in decision science and data science is preferred.
Demonstrated effective writing and verbal communication skills.
Evidence of ability to contribute to the positive culture of our school, university, and community.
Knowledge, Skills and Abilities
Academic experience working on a campus with culturally diverse students, staff and faculty.
Experience in working with industry-standard tools and programming languages for analytics.
Preferred Qualifications
A doctoral degree in business specializing in analytics, decision science, data science, information systems, or related discipline from an AACSB-accredited school.
Experience teaching introductory undergraduate business statistics and upper-level courses in decision sciences, data sciences, and business analytics.
Experience using technology in teaching and experiences teaching in multiple modalities (i.e., hybrid, online, and on-ground courses).
Proficiency in industry-standard tools, databases SQL (with experience in databases like Oracle, MySQL, MongoDB, etc.), NoSQL (JASON, XML, YAML, ETC.), and programming languages for analytics including not limited to R, Python (with a focus on libraries such as NumPy and Pandas), and visualization software Tableau and Microsoft Power BI.
Job Duties:
Work Schedule:
Class Schedules Vary
Driving University Vehicle:
No
Security Sensitive:
This is a Security Sensitive Position.
Special Instructions:
Benefits:
For information regarding our Benefits, click
here .
EEO Statement:
The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices.
#J-18808-Ljbffr