Abstract

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.

摘要

数字技术的发展为使用大数据的专家创造了市场需求，这是制定管理决策所必需的。本研究旨在确定俄罗斯数据分析师职业 (DAP) 的技能结构。作者使用 Python 编写的程序代码来检查从招聘网站中提取的相关职位空缺，并采用社交网络分析方法来识别技能集群。调查结果表明，DAP 主要由硬技能组成，即专家必须具备收集和处理信息所需的技术技能。这些结果可用于开发数据分析的高等教育课程。