Et studiejob i krydsfeltet mellem datamodelering og - visualisering inden for offentlig administration?

This mid-level student job focuses on the intersection of data modeling and data visualization within the context of public administration. Candidates should possess a solid foundation in data modeling techniques, including the ability to structure, organize, and manage data effectively to support analytical and reporting needs. Proficiency in data visualization tools and methods is essential to translate complex datasets into clear, actionable visual representations that aid decision-making in public sector environments. The role requires familiarity with public administration processes and data types, enabling the candidate to contextualize data insights appropriately. A bachelor's level education provides the theoretical and practical background necessary for this position, indicating competence in relevant analytical methods and possibly software tools commonly used in data analysis and visualization. The experience level suggests that candidates should have some practical exposure or coursework related to data handling and visualization, though not necessarily extensive professional experience. Strong analytical skills, attention to detail, and the ability to communicate data-driven insights effectively to stakeholders in public administration are key competencies. Overall, the role demands a blend of technical skills in data modeling and visualization, combined with an understanding of the public sector's data landscape to support informed administrative decisions.