An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements
| Autor: | Yuliya V. Yurova, Kirill M. Yurov, Amit Verma, Peggy L. Lane |
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| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
ComputingMilieux_THECOMPUTINGPROFESSION business.industry Computer science 05 social sciences 050301 education Sample (statistics) Education Domain (software engineering) Analytics Content analysis 0502 economics and business Business intelligence Data analysis Business Management and Accounting (miscellaneous) Pairwise comparison business 0503 education Curriculum 050203 business & management |
| Zdroj: | Journal of Education for Business. 94:243-250 |
| ISSN: | 1940-3356 0883-2323 |
| DOI: | 10.1080/08832323.2018.1520685 |
| Popis: | Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain. |
| Databáze: | OpenAIRE |
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