Chief data analyst

Minimum Qualifications Bachelor’s degree in Electrical Engineering with a specialization in Power (Master’s preferred). Proficiency in MS Office applications, CBAM software architecture, and other project‑related applications. Level 2 certification in Infrared Thermography from recognized OEMs or training providers. Certification in Partial Discharge from recognized OEMs or training providers. Certification from an internationally recognized oil analysis laboratory for transformer oil analysis. Certification in Asset Management from internationally recognized firms with experience in the same field. Expertise in diagnosing and evaluating asset condition based on available data, including Partial Discharge, Infrared Thermography, Oil Analysis, Visual Inspection, etc. Minimum Experience and Skills Minimum 10 years of extensive experience in MV equipment diagnostics, testing, and diagnostics results analysis. Sound knowledge of international standards and technical knowledge of distribution substation equipment. Sound knowledge of condition monitoring techniques such as oil analysis, infrared thermography, and partial discharge measurement. Capability to independently evaluate the health of distribution substation equipment and provide recommendations. Knowledge of risk analysis, criticality index, and asset management systems. Experience handling CBAM (Condition Based Asset Management) software and developing suitable CBAM methodologies, PAS55, ISO55000. Responsibilities

Receive and evaluate all technical inputs and reports from the responsible parties.

Evaluate asset condition based on field data, historical records, equipment design/specifications, performance, operational issues, and aging. Define asset condition using various indices for medium and low voltage assets; link current condition to performance; estimate future condition, performance, and remaining life. Evaluate consequences of failures in categories such as safety, network performance, environmental, and financial impacts. Quantify risks for each asset class and prioritize/rank assets based on failure probability, condition, importance, and risk (probability × impact). Suggest remedial measures. Analyze site data from partial discharge, infrared thermography, visual inspections, transformer oil analysis, and interpret reports based on IEC, IEEE, and ASTM standards. Prepare and review reports, defend conclusions for assigned asset health indices. Review abnormal cases and suggest short‑term and long‑term remedial measures. Scan and present large asset data in a presentable form for management and expert decision making. Ensure data quality from site to final reporting. Attend monthly presentation and data review meetings with the client. Measure success based on assets saved from failures with minimal or no errors in asset condition data. Carry out root cause analysis, forensic, and failure investigation for equipment failures, especially post‑condition monitoring. #J-18808-Ljbffr