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Strong employer brand, popular data analyst title, mid-level experience band, and metro location increase competition.
Role requires reliability engineering and HV product domain knowledge, limiting cross-industry transferability.
Explicit 5+ years requirement plus domain reliability, statistical tools, and tech stack make filters stringent.
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Lead Design for Reliability projects focusing on high voltage product lifecycle improvement using advanced reliability methods (DOE, Weibull analysis, RBD, etc.).
Develop reliability monitoring approaches, define failure data collection processes, and deploy IT governance for data control.
Support AI automation development by structuring data, validating outcomes, and building analytical tools for data from SAP and internal databases.
Bachelor’s or Diploma in Electrical or Mechanical Engineering.
5+ years of experience in statistical evaluation and reliability.
Proficient in Python, Power BI, Open AI tools, or other Business Intelligence tools.
Basic knowledge of electrical equipment and systems; experience with reliability methods and statistical tool deployment.
Experienced in leading reliability design projects in high voltage electrical product environments.
Strong background in statistical data analysis and reliability engineering principles including risk assessment methods (FMEA, HAZOP, Bow-Tie) as a plus.
Ability to manage and govern structured data, supporting AI automation and system integration with tools like SAP and internal databases.