Adjunct - Data Analytics

Posted 02/03/2022

Position

John Brown University seeks an adjunct faculty member to design and teach Data Analytics in the Fall of 2022. These courses are part of the online MBA program and will be taught entirely online.

Institution

John Brown University's mission is to provide Christ-centered education that prepares people to honor God and serve others by developing their intellectual, spiritual and professional lives. We are a Christ-centered, interdenominational university that leads the nation in integrating faith and learning, fostering holistic spiritual formation, promoting pragmatic liberal arts education, and preparing people to follow Christ’s call to serve others in all areas of life. All faculty members must be in agreement with the Faculty Employment ObjectivesEmployee Expectations and Articles of Faith.

Qualifications

A minimum of Master's degree in a related field, and evidence of expertise in Data Analytics, specifically as related to finance or supply chain, is strongly preferred. Experience with R, Python, and/or Tableau is also strongly preferred.  Previous teaching experience at the college level is preferred. A commitment to Christian higher education is essential. A passion for teaching and spiritual formation within the evangelical tradition is required.

The employee is expected to adhere to all university policies.

 

Diversity

JBU desires to increase the diversity of its faculty, staff, and students to honor how all humans are created in the image of God, to reflect better the diversity of the Kingdom of God, to further our Christian commitment to justice, and to increase the quality of our educational experience. JBU is pursuing the goal of teaching and working in a multicultural environment and strongly encourages applications from ethnic minorities and women. For more information, visit our diversity webpage.

About JBU

A summary describing the university is available on-line.

Applications

Please upload the following documents to the "Upload Your Documents" page:

 

 

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