The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present a functional atlas that integrates information from 7 large-scale datasets, outperforming single dataset parcellations. The new atlas has three further advantages: First, the regions are hierarchically organized across 3 levels, allowing analyses at the appropriate level of granularity. Second, by constraining the boundaries to be the same across hemispheres, we provide a symmetric version of the atlas, which is especially useful in studying functional lateralization. Finally, the atlas allows for precision mapping in individuals: The integration of the probabilistic group atlas with an individual localizer scan results in a marked improvement in prediction of individual boundaries. Overall, the new atlas is an important resource for the study of the interdigitated functional organization of the human cerebellum in health and disease.