Demand analysis for competences in the field of information technologies from leading Russian companies

L. Konstantinova, I. Kramarenko
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Abstract

At the present stage of development of information technologies, the study of the need for qualified personnel is becoming more and more popular. At the same time, there is a problem of determining the compliance of specialists’ training level in the field of information technology with the requirements of employers. The article presents the results of a study of the demand for competencies in this field from leading Russian companies. The purpose of the study is to determine the generalized requirements for job seekers in the labor market and the formation of lists of key skills for each of the specialties (professional groups) in the field of information technology. An algorithmic solution is proposed for analyzing the demand for competencies and determining the most demanded skills for various areas. The proposed algorithm is implemented on the example of data on vacancies of the Yandex and VK Group companies, collected from open sources. Data collection was carried out by a modified method: the initial array was formed automatically using the ParseHub parser and corrected manually. The grouping of data was carried out according to the most demanded IT-specialties and according to the generalized formulations of the requirements for these specialties. The key skills of specialists in relevant IT-areas have been identified. The study uses a combination of theoretical and empirical methods. The above algorithm and the results of aggregating groups of vacancies for IT-specialists and their professional competencies demanded by employers can be used for a deeper analysis of demand in the labor market and taken into account when forming the competencies of students in information technology training programs.
俄罗斯领先公司对信息技术领域能力的需求分析
在信息技术发展的现阶段,对人才需求的研究越来越普遍。与此同时,在确定信息技术领域专家的培训水平是否符合雇主的要求方面也存在问题。本文介绍了对俄罗斯领先公司在这一领域的能力需求的研究结果。本研究的目的是确定劳动力市场对求职者的一般要求,并为信息技术领域的每个专业(专业群体)制定关键技能清单。提出了一种算法解决方案,用于分析对能力的需求,并确定各个领域最需要的技能。所提出的算法是在Yandex和VK集团公司从公开来源收集的空缺数据的例子上实现的。数据收集是通过一种修改后的方法进行的:使用ParseHub解析器自动形成初始数组,并手动更正。数据分组是根据最需要的IT专业和这些专业要求的通用公式进行的。已经确定了相关IT领域专家的关键技能。该研究采用了理论和实证相结合的方法。上述算法和汇总雇主要求的IT专家空缺组及其专业能力的结果可用于对劳动力市场需求进行更深入的分析,并在形成信息技术培训项目中学生的能力时予以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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