Identification and comparative analysis of the skills structure of the data analyst profession in Russia

The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in P...

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Bibliographic Details
Published in:Journal of education for business 2022-07, Vol.97 (5), p.295-304
Main Authors: Skhvediani, Angi, Sosnovskikh, Sergey, Rudskaia, Irina, Kudryavtseva, Tatiana
Format: Article
Language:English
Subjects:
Advertising
Big Data
Business education
Comparative analysis
Curricula
Curriculum Development
Data Analysis
data analyst
Data Collection
Decision Making
digital economy
Digital technology
Employment Qualifications
Foreign Countries
Higher Education
Information Technology
Job Applicants
Network Analysis
Professional Education
Programming Languages
Russia
skill gap
Skills
skills structure
Social Networks
Specialists
Web Sites
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Summary:The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted from a recruitment website and employed a social network analysis method to identify skill clusters. Findings suggest that the DAP consists of predominately hard skills, that is, specialists must have the technical skills required to collect and process information. These results could be used to develop a Higher Education curriculum in data analysis.
ISSN:0883-2323
1940-3356
DOI:10.1080/08832323.2021.1937018