ISEDJ

Information Systems Education Journal

Volume 22

V22 N3 Pages 76-87

Jul 2024

Data Analytics Position Description Analysis: Skills Review and Implications for Data Analytics Curricula

Queen E. Booker
Metropolitan State University Minnesota
St Paul, MN USA

Carl M. Rebman Jr.
University of San Diego
San Diego, CA USA

Hayden Wimmer
Georgia Southern University
Atlanta, GA USA

Steven B. Levkoff
University of San Diego
San Diego, CA USA

Loreen Powell
Marywood University
Scranton, PA USA

Jennifer L. Breese
Penn State University
University Park, PA USA

Abstract: The focus of this study was to assess the skill requirements for data analytics positions and to understand data analysis employment expectations for new graduates. Furthermore, this work seeks to highlight issues relevant to curriculum management in university degree programs. 786 job postings were analyzed for domain-related, soft skills, as well as degree requirements. Soft skills, often referred to as people skills, comprised the largest part of the results (11 of the top 21 skills). Results revealed, the most frequent soft skills were related to communication, and teams or teamwork. The most frequent domain skills were related to visualization, data cleaning, data extraction and programming. Implications for curriculum based on results are discussed, and suggestions for future research are provided.

Download this article: ISEDJ - V22 N3 Page 76.pdf

Recommended Citation: Booker, Q.E., Rebman Jr., C.M., Wimmer, H., Levkoff, S.B., Powell, L., Breese, J.L. (2024). Data Analytics Position Description Analysis: Skills Review and Implications for Data Analytics Curricula. Information Systems Education Journal 22(3) pp 76-87. https://doi.org/10.62273/SSQL7979