What do employers look for in "Business Analytics" roles? - A skill mining analysis

Swarnalakshmi Umamaheswaran, Semila Fernandes, V. G. Venkatesh, Nivyasree Avula, Yangyan Shi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Businesses constantly strive to build organizational capacity to use data strategically. As a result, there is a growing demand for business analytics professionals. While higher education systems worldwide have been adapting to build competencies, they must meet employees' expectations. Curriculum design for delivering business analytics competencies remains a challenge due to the rapidly evolving nature of business analytics as a discipline. The paper aims to decode the industry expectations for the Business Analytics profile. This study investigates the skills employers value by analyzing job descriptions. We use a text-mining approach to understand the weightage of different skills and mine skill clusters within business analytics roles. The core skill clusters are hard skills related to Big data, Business Intelligence, and analytical techniques. Results also suggest that traditional machine learning (ML) skills, typically expected in a data science profile, are also being sought after in a business analytics role. Surprisingly soft communication and stakeholder management skills are also emerging as essential skills for business analytics roles. This study provides a better understanding by investigating the interplay between the demand for skills in the job market and curriculum development.
Original languageEnglish
Number of pages17
JournalInformation Systems Frontiers
DOIs
Publication statusE-pub ahead of print - Nov 2023

Keywords

  • Business analytics
  • Data analytics
  • Information society
  • Skill development
  • Skill mining

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