Maintenance Data Analyst - Optimize Asset Performance with Data-Driven Insights

Join Indospec Asia as a Maintenance Data Analyst and play a pivotal role in transforming raw maintenance data into actionable insights that drive operational excellence. In this dynamic position, you will leverage advanced analytics to optimize asset performance, reduce downtime, and enhance overall efficiency. As part of a forward-thinking team in Jakarta, you will work closely with maintenance teams, engineers, and other stakeholders to implement data-driven solutions that address real-world challenges.

This role is perfect for a data-savvy professional with a passion for maintenance and asset management. You will use tools like Power BI, SQL, and Python to analyze and visualize data, ensuring that your insights are clear, concise, and actionable. Whether you're a seasoned analyst or a recent graduate with a background in data science, this opportunity offers a chance to make a tangible impact on the company's operations.

📋 Tanggung Jawab Pekerjaan

• Collect, clean, and analyze maintenance data using SQL and Python to identify trends and patterns.
• Develop and maintain dashboards in Power BI to visualize key performance indicators (KPIs) for asset performance.
• Collaborate with maintenance teams to understand operational challenges and translate data insights into actionable recommendations.
• Implement predictive maintenance strategies using machine learning algorithms to anticipate equipment failures and reduce downtime.
• Conduct regular data reviews and provide reports to senior management to support decision-making.
• Stay updated with industry best practices and emerging technologies in data analytics and asset management.
• Train and mentor junior team members on data analysis techniques and tools.
• Ensure compliance with data privacy and security regulations, including GDPR and ISO 27001.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Data Science, Statistics, Engineering, or a related field.
• 3+ years of experience in data analysis, with a focus on maintenance or asset management.
• Proficient in SQL, Python, and Power BI, with experience in data visualization and dashboard development.
• Strong understanding of statistical methods and machine learning techniques.
• Experience working in a fast-paced, data-driven environment, preferably in the manufacturing or industrial sector.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Certification in data analytics or a related field is a plus.
• Fluency in English, both written and spoken, is required.

🛠️ Keahlian

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