Data Analyst

Responsibilities:

a. Maintenance Data & Analytics

• Lead analysis of data collected from the Maintenance Alert Systems to identify performance trends, anomalies, and root causes
• Crunch large datasets to generate actionable intelligence for preventive maintenance and corrective rectification works
• Develop and present dashboard displays for real-time monitoring of maintenance KPIs, including deploy interactive dashboards in Power BI/Tableau etc. for improving visibility of maintenance performance metrics
• Prepare and deliver solutions and recommendations for upcoming maintenance works based on data-driven insights
• Integrate AI and digital solutions to support predictive planning and optimize maintenance schedules

Inventory & Spare Parts Analysis

• Manage data from receiving and issuing of maintenance parts to ensure smooth operations
• Track and project spare parts requirements aligned with maintenance schedules.
• Consolidate and advise on monthly inventory stock level reports for management review
• Utilize AI tools to correlate maintenance data with inventory levels, improving forecasting accuracy
• Develop projections and provide recommendations for strategic purchasing of maintenance parts
• Streamlined inventory reporting processes, reducing manual effort as targeted per month

AI Maintenance Process & Knowledge Management

• To support and develop AI-Driven Maintenance Work Process (MWP)
• To support and develop AI-Driven Maintenance knowledge Management (MKM) System
• To support and develop AI-Driven Work Order (MWO) System

Technical Skills

• Data Analysis & Visualization: SQL, Python, R, Excel (Advanced), Power BI, Tableau etc.
• AI Work Flow Tools: AI-driven tools including MS Copilot Cowork, Claude etc.
• Maintenance Systems Tools: Experience in Maintenance CMMS, Maintenance Alert Systems preffered
• Inventory Management Tools: Experiences in ERP systems (SAP, Ariba), inventory tracking modules 
• Administrative Tools: Workday, Outlook, MS Teams
• General Competencies: Dashboarding, Reporting Automation, Data Correlation, Forecasting Models

Qualification/Experiences

• Bachelor’s Degree/Diploma in Data Analytic/Software/AI Discipline
• Solid analytical and problem-solving skills
• Excellent communication and presentation abilities
• Preferably more than 2-3 years of experience in data analysis and AI-driven solutions preferably in manufacturing and facilities maintenance environment