What Do Employers Look for in “Business Analytics” Roles? – A Skill Mining Analysis

IF 6.9 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Systems Frontiers Pub Date : 2023-11-30 DOI:10.1007/s10796-023-10437-y
Swarnalakshmi Umamaheswaran, Semila Fernandes, V. G. Venkatesh, Nivyasree Avula, Yangyan Shi
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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.

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雇主对“商业分析”角色的期望是什么?-技能挖掘分析
企业不断努力建立组织能力,以战略性地使用数据。因此,对商业分析专业人员的需求不断增长。虽然世界各地的高等教育体系一直在适应培养能力,但它们必须满足员工的期望。由于商业分析作为一门学科的快速发展,提供商业分析能力的课程设计仍然是一个挑战。本文旨在解码行业对商业分析概况的期望。本研究通过分析职位描述来调查雇主所看重的技能。我们使用文本挖掘方法来了解不同技能的权重,并在业务分析角色中挖掘技能集群。核心技能集群是与大数据、商业智能和分析技术相关的硬技能。结果还表明,传统的机器学习(ML)技能,通常在数据科学简介中被期望,也在商业分析角色中受到追捧。令人惊讶的是,软沟通和利益相关者管理技能也正在成为商业分析角色的基本技能。本研究通过调查就业市场对技能的需求与课程发展之间的相互作用,提供了更好的理解。
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来源期刊
Information Systems Frontiers
Information Systems Frontiers 工程技术-计算机:理论方法
CiteScore
13.30
自引率
18.60%
发文量
127
审稿时长
9 months
期刊介绍: The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.
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