Gap-filling model between the labor market requirements and the standards of educational programmes for business analysts in Ukraine

Abstract

Under global competition, the training of personnel with the demanded competencies in the labor market becomes a guarantee ofcompetitive-ness of enterprises in the digital economy. The purpose of the paper is to identify gaps in the training of business analysts between the requirements of the labor market and the standards of higher education programs in Ukraine. Paper is devoted to analysis of the IT market of Ukraine and the imbalance of competences in the IT labor market in Ukraine; comparingthe requirements of employers for the competencies of IT specialists in the labor market; determiningthe competencies of educational programs in Ukraine according to the standards of the Ministryof Education and Science and their compliance with the requirements of the labor market for IT specialties,developingan experimental model of the impact of competencies of IT majors on the wages of business analysts.Affordablevacancies were analyzed and divided into 5 groups: Banks, Government institutions, IT, Retail and Other. These vacancies were analyzed by gen-eral competencies and specific subjectcompetencies.After comparing, the requirements of Ukrainian employers for the position of busi-ness analyst on the job search sites the most important specific subjectcompetencies for the IT industry were identified.Paper propose methodological approach to revise educational programmes according to market needs of employers.The ability to explain economic and social processes and phenomena based ontheoretical models, to analyze and interpret the obtained results, which determines the average monthly salary increase. The ability to develop business solutions and evaluate new technological proposals leads to a decrease in salary. The ability to form new competitive ideas and implement them in projects reduces the salary, when working inpositions in mature companies. Understanding flexible development processes increases the salary of employees.The proposed approachof reveal-ing statistical significant competences can be applied to any specialty