Abstract: Data mining is one of the effective areas of creating innovative data designed to uncover hidden and valuable information from data. Achievements of scientific information expertise find their application in various spheres of human activity, one of such spheres is the labor market. The article examines the impact of digital competencies on the labor market of Ukraine. An intellectual analysis of labor market data was carried out using the example of vacancies. The current state of use of digital competences in Ukraine is established. Problematic aspects of the analytical interpretation of digital competences and ensuring the completeness of information disclosure in the field of digital competences in the conditions of digital transformations are identified, solutions are proposed. Rule­based tagging meets all the necessary skills, but also highlights other nouns and proper nouns. There was a lot of noise and mining required another dictionary to get the required nouns (skills). This problem is interesting to solve using other NLP models, such as topic modeling, LSTM, and word embedding. The most important conclusion from the analysis is that noise­free context topic extraction is still under investigation. The conducted research made it possible to determine the low level of application of digital competencies in job requirements. This indicates the insufficient development of digitalization, which is directly related to the economic situation in the country, and there is a limitation of resources