Senior Reliability Engineering Analyst

Jobtailor; São Paulo; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

Jobtailor in Brazil seeks a Reliability Engineer to improve railway asset performance through RAM analyses and reliability modeling. You will conduct degradation studies, life-cycle assessments, and risk analyses to optimize maintenance strategies and asset renewal plans.

The role requires expertise in ReliaSoft tools, Python, BI applications, and ISO 55000-aligned practices. Collaboration with Engineering, Maintenance, and Operations teams is essential for risk mitigation and data-driven

Qualificações

• Bachelor’s degree in Engineering or related field.
• Experience in Reliability Engineering applying RCM, FMEA/FMECA, RCA, Weibull analysis, and RAM analysis.
• Practical experience conducting quantitative reliability studies, degradation analyses, and asset life analyses.
• Knowledge of Asset Management, Risk Management, and Asset Criticality, preferably with ISO 55000.
• Knowledge of statistical analysis and Data Science applied to maintenance; solid probability/statistics.
• Knowledge of BI tools and EAM/CMMS systems.
• Knowledge of Python for data processing and analysis.
• Graduate degree or postgraduate specialization in Reliability Engineering, Asset Management, or Maintenance Engineering.
• CAMA Certification and/or RCM Certification.
• Experience with ReliaSoft RCM++, Weibull++, BlockSim, and RGA; ability to use these tools independently.
• Knowledge of SQL, NoSQL, and Oracle databases.

Responsabilidades

• Ensure continuous improvement of railway asset performance through Reliability Engineering methodologies, failure analysis, and performance evaluation.
• Develop RAM studies using statistical techniques, operational history, and asset life-cycle modeling.
• Identify and mitigate risks with criticality analyses, risk assessments, FMEA/FMECA, and defining risk treatment actions.
• Contribute to maintenance strategies using RCM, FMEA/FMECA, RCA, and recurring failure analyses.
• Support asset renewal, modernization, and replacement plans considering asset condition, remaining useful life, performance, and risk exposure.
• Develop and provide indicators to support decision-making through asset, maintenance, and operations data analysis.
• Advance Asset Management by implementing ISO 55000-aligned methodologies, standards, and practices.
• Govern reliability engineering and asset management processes by monitoring audits, action plans, and results.
• Contribute to technical development of Engineering, Maintenance, and Operations teams by sharing Reliability Engineering methodologies and knowledge.
• Conduct asset degradation analyses and life studies.
• Use ReliaSoft RCM++, Weibull++, BlockSim, and RGA for reliability modeling and studies.
• Update indicators, portals, and dashboards; develop new Power BI apps using Python and statistics for data processing and analysis.
• Provide technical support for asset specifications during procurement processes.

Conhecimentos

Reliability Engineering

RCM

FMEA/FMECA

Python

ISO 55000

RAM Analysis

Degradation Analysis

Asset Life-Cycle Modeling

Statistical Techniques

Data Science

BI Tools

SQL

Formação académica

Bachelor’s degree in Engineering or related field

Graduate degree or postgraduate specialization in Reliability Engineering/Asset Management/Maintenance Engineering

CAMA Certification

RCM Certification

Ferramentas

ReliaSoft RCM++

Weibull++

BlockSim

RGA

Power BI

EAM/CMMS Systems

SQL

Oracle databases

Descrição da oferta de emprego

• Ensure the continuous improvement of railway asset performance through the application of Reliability Engineering methodologies, failure analysis, and performance evaluation.
• Develop reliability, maintainability, and availability (RAM) studies using statistical techniques, operational history, and asset life-cycle modeling.
• Identify and mitigate risks associated with critical assets by conducting criticality analyses, risk assessments, FMEA/FMECA, and defining risk treatment actions.
• Contribute to the definition and optimization of maintenance strategies using RCM, FMEA/FMECA, RCA, and recurring failure analyses.
• Support asset renewal, modernization, and replacement plans, considering asset condition, remaining useful life, operational performance, and risk exposure.
• Develop and provide technical and management indicators to support decision-making through the analysis and consolidation of asset, maintenance, and operations data.
• Contribute to the advancement of Asset Management by implementing methodologies, standards, and practices aligned with the principles of ISO 55000.
• Support the governance of Reliability Engineering and asset management processes by monitoring technical audits, action plans, and results.
• Contribute to the technical development of Engineering, Maintenance, and Operations teams by sharing Reliability Engineering methodologies and knowledge.
• Conduct asset degradation analyses and life studies.
• Use ReliaSoft RCM++, Weibull++, BlockSim, and RGA tools for reliability modeling and studies.
• Update indicators, portals, and dashboards, and develop new Power BI applications using Python, statistics, and probability for data processing and analysis.
• Provide technical support for asset specifications during procurement processes.

Requirements

• Bachelor’s degree in Engineering or a related field.
• Experience in Reliability Engineering, applying methodologies such as RCM, FMEA/FMECA, RCA, Weibull analysis, and RAM analysis.
• Practical experience conducting quantitative reliability studies, degradation analyses, and asset life analyses.
• Knowledge of Asset Management, Risk Management, and Asset Criticality, preferably with experience applying ISO 55000 principles.
• Knowledge of statistical analysis and Data Science applied to maintenance, with a solid understanding of probability and statistics.
• Knowledge of BI tools and EAM/CMMS systems.
• Knowledge of Python for data processing and analysis.
• Graduate degree or postgraduate specialization in Reliability Engineering, Asset Management, or Maintenance Engineering.
• CAMA certification and/or RCM certification.
• Experience with ReliaSoft RCM++, Weibull++, BlockSim, and RGA, with the ability to use these tools independently.
• Knowledge of SQL, NoSQL, and Oracle databases.

Core Competencies

Demonstrates expertise in Reliability Engineering methodologies, including RCM, FMEA/FMECA, and RAM analysis, to enhance asset performance and inform decision-making. Proficient in statistical analysis and data processing using Python and BI tools to support asset management and risk mitigation strategies.

Highest-signal resume keywords

• Reliability Engineering
• RCM
• FMEA/FMECA
• Python
• ISO 55000

Hard Skills

• Reliability Analysis
• Statistical Techniques
• Degradation Analysis
• Risk Assessment
• Asset Life-Cycle Modeling
• Quantitative Reliability Studies
• RAM Analysis
• Criticality Analysis
• Data Science
• SQL

Certifications & Qualifications

• CAMA Certification
• RCM Certification

Industry Keywords

• Asset Management
• Risk Management
• Maintenance Engineering
• Technical Audits
• Action Plans

Tools & Technologies

• ReliaSoft RCM++
• Weibull++
• BlockSim
• RGA
• Power BI
• EAM/CMMS Systems