There is suggested an analytical approach to occupational safety management based on the use of a logico-statistical model for assessing occupational risks, which allows processing large sets of data for instrumental measurements of labor conditions. The results of processing information on the assessment of working conditions using a logico-statistical model allow us to predict the levels of occupational risks at various workplaces, which makes it possible to develop optimal management decisions for preserving the life and health of workers in enterprises. The prospect of using data mining methods in the tasks of OSH management at the enterprise opens up the possibility of creating decision-making mechanisms that take into considiration the dynamism of the working environment and make it possible to increase the validity of the choice of the priority of labor protection measures.