Bachelor's degree in Electrical, Mechanical, Systems Engineering, or related technical field.
Minimum of 5years in reliability, maintainability, or supportability engineering; 10years for senior roles.
Experience with ISO-9001, ISO14224, EN497, IEC61508, or similar standards.
Proven track record of using statistical tools (Weibull analysis, Pareto charts, MTBF/MTBUR modeling) and advanced Excel or equivalent analytical software.
Familiarity with relational databases (Oracle, TOAD, BART, MIDAS) and modern cloud-based analytics platforms (AWS, Azure).
Strong understanding of electronic components, circuits, and interfaces; ability to rapidly learn customer web-based applications for data mining and reporting.
Ability to model failure distributions, conduct (F)MECAs, and leverage machine-learning algorithms for predictive reliability.