Abstract
The growing demand for digital solutions and rapid software adaptation presents challenges for companies, especially amid a shortage of skilled digital professionals. Low-code development platforms (LCDPs) offer a solution by enabling faster, more accessible software development through visual interfaces and minimal coding. However, effective adoption requires a nuanced understanding of user competencies, including those of traditional and non-technical developers. Existing research focuses primarily on the technical aspects of low-code, neglecting key behavioural and communication skills. This study challenges the assumption that low-code eliminates the need for technical expertise, arguing that effective use demands advanced skills. To address this gap, we analyse over 6,000 competencies from 500+ Xing profiles, applying Latent Dirichlet Allocation (LDA) topic modelling in Python to identify key competency themes. We examine variations in skills based on technical background and gender. Our findings highlight the critical role of technical, managerial, and communication skills in successful lowcode deployment. These insights contribute to workforce development, recruitment strategies, and the broader democratisation of software development. By clarifying the true skill demands of low-code roles, this study informs both academia and industry on optimising low-code adoption in digital transformation efforts.