Lecturer - Business Analytics

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

FTE : 1.000000

Retirement Eligibility : ORP Eligible

About Us - Values Overview :

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth.

We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.

We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education.

We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all.

We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities.

We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure.

Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.

Learn more about the UNT System and how we live our values at www.UNTSystem.edu .

Department Summary

UNT Dallas is the only public four-year university exclusively in the City of Dallas. Last month, UNT Dallas received the highest rating of all North Texas colleges and universities in the Money Magazine’s annual Best Colleges in America report.

UNT Dallas has achieved many rankings and accolades in our efforts to foster upward economic mobility for our students. Combined, this means a rapid growth trajectory for UNT Dallas and the School of Business.

Come join us in this dynamic environment.

UNT Dallas accepted its first freshman class in the fall of 2010 and is already among the most diverse universities in the nation;

UNT Dallas has grown to over 4,000 students and is projected to reach over 25,000. UNT Dallas is a comprehensive university offering undergraduate and graduate degrees.

For more information about the university, go to http : / / untdallas.edu / .

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.

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.

Required License / Registration / Certifications

Job Duties : Work Schedule :

Work Schedule : Class Schedules Vary

Class Schedules Vary

Driving University Vehicle :

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.

The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate.

The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.