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).
**Technical Proficiency** - Strong understanding of electronic components, circuits, and interfaces; ability to rapidly learn customer web-based applications for data mining and reporting.
**Analytical Thinking** - Ability to model failure distributions, conduct (F)MECAs, and leverage machine-learning algorithms for predictive reliability.
**Communication** - Excellent verbal and written communication, capable of producing technical publications, proposals, and presenting data to diverse audiences.
**Interpersonal** - Skilled at coordinating and negotiating with company personnel, customers, and suppliers; adept at leading cross-functional teams.
**Decision Making** - Use sound judgment while complying with relevant policies, regulations, and laws.
**Process Orientation** - Strict attention to detail, robust documentation, and commitment to process compliance (ISO-9001, ISO14224).