Machine Health Analyst - Predictive Maintenance Specialist

Join PT Nusantara Industrial Solutions as a Machine Health Analyst in the heart of Bangka Belitung! You’ll leverage cutting-edge IoT sensors, AI-driven analytics, and predictive maintenance tools to ensure optimal performance of industrial machinery in mining, manufacturing, and energy sectors. Our company is a leading provider of industrial solutions in Indonesia, with a strong commitment to innovation and sustainability. As a Machine Health Analyst, you'll be at the forefront of predictive maintenance, using advanced technologies to prevent downtime and extend the lifespan of critical machinery.

In this role, you'll work closely with cross-functional teams to implement data-driven maintenance strategies. You'll analyze machine data, identify patterns, and develop predictive models to forecast equipment failures. This is an exciting opportunity to make a tangible impact on operational efficiency and safety in the industrial sector. PT Nusantara Industrial Solutions offers a dynamic work environment, professional growth opportunities, and a competitive salary package.

Located in the strategic city of Pangkal Pinang, you'll have access to world-class facilities and a supportive team. Join us and be part of a company that values cutting-edge technology and a strong commitment to excellence.

📋 Tanggung Jawab Pekerjaan

• Monitor and analyze real-time data from IoT sensors installed on industrial machinery.
• Develop and implement predictive maintenance models using AI and machine learning algorithms.
• Identify patterns and trends in machine data to forecast potential failures.
• Collaborate with maintenance teams to schedule preventive maintenance activities.
• Provide actionable insights and recommendations to optimize machinery performance.
• Conduct regular equipment health assessments and report findings to stakeholders.
• Stay updated with the latest advancements in predictive maintenance technologies and tools.
• Train and mentor junior team members on predictive maintenance best practices.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Mechanical Engineering, Industrial Engineering, or a related field.
• Minimum of 3 years of experience in predictive maintenance or machine health analysis.
• Proficient in using predictive maintenance software such as SAP Predictive Maintenance, IBM Maximo, or similar.
• Strong understanding of IoT sensors, data analytics, and machine learning.
• Familiarity with programming languages such as Python, R, or MATLAB.
• Certification in predictive maintenance or a related field is a plus.
• Excellent problem-solving skills and analytical abilities.
• Strong communication and teamwork skills.

🛠️ Keahlian

Lowongan Terkait