Analyst, Reliability III at Ma'aden

Turayf, Northern Borders Province, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Reliability Engineering, Root Cause Analysis, Preventive Maintenance, Predictive Maintenance, Data Analysis, SAP PM, Equipment Performance Monitoring, Failure Analysis, Condition Monitoring, Asset Lifecycle Management, KPI Tracking, RCM, CBM, FMEA, Technical Reporting, Industrial Safety

Industry

mining

Description

Job Title Analyst, Reliability III Reporting to Reliability Strategy - MWSPC Business Unit/Function MWSPC/ Phosphate Department Reliability WAS Direct Reports Manager, Reliability Strategy Budget/Size Grade M9E Job Family Sub Family Position Type Regular Role Profile Number Job Purpose To support the reliability of MWSPC plant assets by analyzing equipment performance, identifying failure trends, and contributing to predictive and preventive maintenance strategies to minimize downtime, improve operational efficiency, and ensure safe and reliable operations. Key Accountabilities * Monitor and analyze equipment performance, reliability trends, and failure data. * Conduct root cause analysis (RCA) and recommend corrective and preventive actions. * Support development and optimization of preventive and predictive maintenance strategies. * Track KPIs (e.g., availability, MTBF, MTTR) and provide reliability reports and insights. * Collaborate with maintenance and operations teams to improve asset performance and reduce downtime. * Participate in continuous improvement initiatives and reliability programs (e.g., CBM, RCM). Minimum Qualifications, Experience and Competencies * Bachelor’s degree in mechanical, Electrical, Industrial, or related Engineering discipline. * 2–5 years of experience in reliability, maintenance, or asset performance analysis within industrial or process plants. * Knowledge of reliability concepts and tools (e.g., RCA, RCM, CBM, FMEA). * Proficiency in data analysis tools (e.g., SAP PM, Excel, or similar systems). * Basic understanding of plant equipment and maintenance strategies in a heavy industrial environment. Minimum Experience: * 2–5 years of experience in reliability engineering, maintenance, or asset performance analysis within a mining, petrochemical, or heavy industrial environment. Ma’aden High Performance Competencies: * Analytical Thinking: Ability to interpret reliability data, identify trends, and support problem-solving through structured analysis. * Safety & Compliance Focus: Adheres to all safety regulations and ensures reliability activities align with operational and regulatory standards. * Continuous Improvement: Contributes to reliability initiatives (e.g., RCA, RCM, CBM) to enhance asset performance and reduce failures. * Collaboration & Teamwork: Works effectively with maintenance, operations, and engineering teams to achieve reliability objectives. * Results Orientation: Focuses on improving equipment availability, reducing downtime, and delivering measurable performance outcomes. * Communication Skills: Clearly presents findings, reports, and recommendations to stakeholders. Skills: * Strong analytical and problem-solving skills for equipment reliability and failure analysis. * Knowledge of reliability methodologies (e.g., RCA, RCM, CBM, FMEA). * Proficiency in data analysis and reporting tools (e.g., SAP PM, Excel, Power BI). * Understanding of maintenance strategies and asset lifecycle management. * Familiarity with condition monitoring techniques (e.g., vibration, oil analysis, thermography). * Ability to interpret reliability KPIs (e.g., MTBF, MTTR, availability). * Good communication and technical reporting skills. * Basic knowledge of industrial safety standards and compliance requirements.

Responsibilities

The analyst will monitor equipment performance and reliability trends to identify failure patterns and conduct root cause analysis. They will also collaborate with maintenance and operations teams to optimize predictive and preventive maintenance strategies to improve asset availability.