- - Conduct structured FMEA studies on valve systems, including PSVs, SDVs, BDVs, and control valves, identifying failure modes, effects, causes, and criticality.
- - Calculate and evaluate Risk Priority Numbers (RPNs) using severity, occurrence, and detection ratings.
- - Collect, extract, clean, validate, and analyze maintenance and failure data from JDE Enterprise 1 (JDE-E1) CMMS, work orders, inspection records, and other sources.
- - Develop and maintain reliability databases and dashboards covering MTBF, MTTR, failure rates, availability, and equipment performance.
- - Analyze trends and identify recurring failure patterns, bad actors, systemic issues, and reliability risks.
- - Prepare FMEA reports with identified risks, RPNs, recommended mitigating actions, and proposed maintenance strategy improvements.
- - Support Root Cause Failure Analysis (RCFA) by providing failure trends, historical data, and analytical insights.
- - Provide data and analytical inputs for Equipment Criticality Assessments (ECA) and Reliability-Centered Maintenance (RCM) studies.
- - Monitor and report regional equipment reliability and availability performance in alignment with FIRM standards.
- - Support digitalization and reliability initiatives involving data mining, predictive analytics, Celonis, Power BI, and other reporting tools.
- - Extract and interpret CMMS data and develop maintenance reports, dashboards, visualizations, and management reports.
- - Capture, validate, and maintain accurate Value of Work Done (VoWD) data to support reliability cost tracking and reporting.
- - Identify opportunities to improve data quality, reporting accuracy, maintenance effectiveness, and asset reliability.
- - Provide training and coaching to national employees on FMEA methodology, data analysis, reliability reporting, and analytical tools.
- - Collaborate with Reliability Engineering, Maintenance, Planning, Operations, and other stakeholders to translate analytical findings into practical maintenance actions.
FMEA Data Analyst
Prasinox Energia
•
Posted 1 day ago
About
Prasinox is committed to delivering cutting-edge solutions in valves and oil and gas support equipment. Our integrated services cater to diverse industrial needs, ensuring reliability, efficiency, and safety across all operations.
Location
Luanda
Type
Contract
Education
HND
Key Responsibilities
Requirements & Qualifications
- - Bachelor’s degree in engineering, Data Science, Statistics, or an equivalent technical discipline.
- - Minimum of five (5) years of experience in reliability data analysis, FMEA, maintenance analytics, or reliability engineering within the Oil & Gas industry.
- - Strong knowledge of FMEA methodology, including severity, occurrence, detection ratings, and RPN calculation.
- - Proficiency in JDE Enterprise 1/CMMS data extraction, work-order analysis, and maintenance reporting.
- - Advanced proficiency in Microsoft Excel, Power BI, or equivalent data analytics and visualization tools.
- - Strong understanding of RCFA, RCM, ECA, Weibull analysis, MTBF, MTTR, failure rates, and reliability engineering principles.
- - Knowledge of valve maintenance and applicable standards, including API 526, API 580/581, ASME, and NBIC.
- - Experience with data mining, predictive analytics, and reliability databases is an advantage.
- - Strong analytical, statistical, data visualization, report-writing, and problem-solving skills.
- - Excellent communication skills with the ability to translate complex technical data into clear, actionable recommendations.
- - Ability to work effectively with multidisciplinary teams and support continuous improvement initiatives.
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