Abstract: Based on the requirements for data preprocessing and distribution tasks of the Einstein Probe (EP) mission, as well as the processing needs for various types of data downlinked via X-band, S-band, VHF channel, and Beidou channel, a study was conducted on the key technologies for the EP satellite data preprocessing and analysis platform. Considering the data characteristics and processing requirements of the EP satellite payload data, algorithms were designed for level 0 data processing, level 1 data processing, and data product integrity interpretation based on observational organization. To meet the high timeliness requirements for the release of astronomical alert information in VHF data and Beidou short messages, different priority data preprocessing and distribution workflows were designed. Ultimately, a layered architecture design method was adopted to implement the EP satellite data preprocessing and distribution service platform. This platform is capable of automatically, efficiently, and accurately preprocessing, managing, and distributing various types of downlinked data from the EP satellite. System operation verification results show that the scientific data products processed by this platform are highly accurate, meeting the timeliness and accuracy requirements of EP satellite data preprocessing, and have good scalability.