Tools and Technologies Utilized in Data-Related Positions: An Empirical Study of Job Advertisements

Abstract

Role, value and amount of data and related tools, technologies, companies and professions in society is rising. Since the required skills for data-related professions are predicted to experience changes, and labor market mismatches create challenges for stakeholders, this research focuses on changes in the required tools and technologies for data-related positions. The presented research defines trends and changes in frequencies of the tools utilized in the data-related professions by applying quantitative content analysis on collected data from job advertisements of Finland, Denmark and Poland. The research findings show that tools used in data-related professions experience significant changes over time. For example, AI and cloud computing-related skills, and SQL started to be required more, whereas Excel, SPSS and similar tools are less expected from the candidates. Furthermore, while R programming language utilization rises in analytics related positions, Python is more common in positions related to data science.