Efficient human resource management needs accurate assessment and representation of available competences as well as effective mapping of required competences for specific jobs and positions. Thus, definition and identification of competence gaps express differences between acquired and required competences using a mathematical approach to support accurate competence analytics. Lack of skills and insufficient qualifications of employees are cited as major barriers to the adoption of new technologies in the context of Industry 4.0. These changes require skills for data analytics tasks. The purpose of this paper is to investigate gaps in the preparing of a business analyst between the requirements of the labor market and the standards of study programs. For the IT and other industries, the most important competencies from study program of Ukrainian High Educational Institutes, which correspond to labor market requirements, were revealed using RStudio.