{"title":"The business analytics skills employers are looking for","authors":"John Levendis, Nuwan Indika","doi":"10.1111/dsji.70004","DOIUrl":null,"url":null,"abstract":"<p>Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication, visualization, data science, business requirements, and problem-solving. The article also discusses the implications of these findings for curriculum design and career development. Aside from the standard battery of statistics classes, we argue that every analytics curriculum should contain components teaching statistical communication, visualization, databases, and programming as well as include a capstone project.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":"23 2","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Sciences-Journal of Innovative Education","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dsji.70004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication, visualization, data science, business requirements, and problem-solving. The article also discusses the implications of these findings for curriculum design and career development. Aside from the standard battery of statistics classes, we argue that every analytics curriculum should contain components teaching statistical communication, visualization, databases, and programming as well as include a capstone project.