Aviation maintenance tasks are part of a complex organization, where individuals perform varied tasks in an environment with time pressures, and sometimes difficult ambient conditions. These situational characteristics in combination with generic human erring tendencies result in varied forms of error. Analysis of existing aviation maintenance data is a crucial step in meeting the aviation industry’s need to improve aviation safety. We are approaches to investigate the significant human risk factors in aviation maintenance industry. Questionnaire through the modified human factors SHELL model was developed to categories the human factors variables that were derived from the literature review and the opinions of aviation personnel who involved in maintenance. The data were obtained from 18 aviation maintenance in Malaysia which has been listed in Malaysia Aviation Industry Report. The total of 315 respondents was received during the period of the survey. Several analysis techniques were used to analyze the survey data through exploratory factor analysis, reliability analysis and confirmatory factor analysis. The result showed that there are significant human risk factors in aviation maintenance and the result also provided approaches of Structural Equation Modeling (SEM) to verify the hypotheses in the path analysis model.