The present study generates a new methodology which allows us to study the job market in order to identify work profiles based on job openings published online. The methodology includes 5 stages: Web scraping, Data pre-processing, Document filtering (job offers), Topic Modeling, and the Concept Grouping Stage and profile characterization. As a case study, we consider the Psychology profession, for which a corpus of 6,407 job listings was generated. In this case, document filtering was done based on Word2Vec and BERT, with the latter emerging as the better alternative. The corpus was thus reduced to 4,314. For the case study, we also constructed a graphic schema in order to visualize the job offers' location and the graduation profiles with regards to the work profiles identified. The results from the Topic Modeling stage and the graphic projection are presented on dashboards, allowing for user interaction. The methodology developed has potential to help Higher Education Institutions redesign their curricula and review their graduation profiles, both fundamental aspects needed in their Accreditation processes, their continuous improvement and quality assurance processes