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This paper demonstrates the use of Multidimensional Data Analysis methods in revealing latent groups of European countries trading cultural goods over a period of fourteen years (2002-2015). The methods of Multiple Correspondence Analysis (MCA) and Hierarchical Cluster Analysis (HC) are applied on a multivariate matrix that takes into account not only imports and exports of such goods, but in a supplementary way, basic economic and educational variables, in order to detect and explore relationships among them. Furthermore, cluster analysis on MCA results is used to identify all groups of country-years sharing similar characteristics. ; site as: Koutsoupias Nikos, & Boutsiouki Sofia. (2018). Exploring European Cultural Goods Trade: A Multidimensional Perspective. Proceedings of the International Conference of International Business 2017 (ICIB 2017), Thessaloniki, Greece, 19 - 22 May 2017. http://doi.org/10.5281/zenodo.1286354site