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 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, PAS
  55, ISO
  55000.

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.