Abstract

VICUNA-PINO, Ariosto et al. Visualisation of professional skills by analysing advertisements on job sites. Rev. Soc. cient. Parag. [online]. 2026, vol.31, e3102.  Epub Feb 18, 2026. ISSN 0379-9123.  https://doi.org/10.32480/rscp.2026.e3102.

The transformation of the labor market driven by technological advances requires continuous updating of university curricula. Therefore, this study identifies the most demanded professional skills across different degree programs of an Engineering Faculty by analyzing job advertisements published on the Indeed portal in Ecuador. A total of 512 job postings were collected through web scraping techniques, from which 755 professional skills were identified. Data was analyzed using Social Network Analysis (SNA), constructing networks that relate skills to areas of knowledge. The results reveal networks with low density, indicating high specialization and dispersion of the demanded competencies. Nevertheless, nodes with high centrality were identified, mainly associated with software development and data management, highlighting skills such as Java, SQL, JavaScript, and database management, particularly in Systems Engineering and Software Engineering. In other programs, specific patterns related to specialized technical tools were observed, including AutoCAD in Architecture and Mechanical Engineering, and ArcGIS and MapInfo in Environmental Engineering. These findings allow the characterization of skill demand according to each area of knowledge and provide empirical evidence to support curriculum updating processes, strengthening the alignment between academic training and current labor market needs. The proposed approach demonstrates methodological applicability for similar studies in other national contexts.

Keywords : Professional skills; job advertisements; job portals; web scraping; social network analysis.

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