Competências e habilidades digitais requeridas aos profissionais da informação nos anúncios brasileiros de emprego na web

Abstract

We analyze online job ads to identify the digital competences that companies and organizations demand from information professionals. This information is obtained from a content analysis of online job ads. Their retrieval from the web is terminological, and specialists select ads that include knowledge, activities, or requirements related to information science and digital transformation. After the ad format is standardized, the ads are analyzed using an ad hoc taxonomy for categorization. The taxonomy and the corpus of the ads are compared using automatized XML files in Apache Solr. Based on the taxonomy, we approach the text of the ads. The obtained data are stored as CSV files, from which we generate the general and specific groups of knowledge. The results are displayed according to classes of knowledge and professional profiles, focusing on those that relate to digital transformation. We explain the activity branches and the transversal informatics knowledge of the companies offering the positions. The specific knowledge in the digital environment is then presented, interpreted, and grouped according to the ads’ most characteristic facets: digital objects, data banks; digital services; data analysis; knowledge banks and artificial intelligence; software; knowledge organization systems (KSO); rights and values; and web and portals. These facets are distinguished by their frequency and by the transformations they generate in professional activities. We conclude by considering the appearance of profiles that are quite removed from traditional denominations and activities, as well as considering the effects of digital transformation in a highly complex labor market and on the development of digital competences.