Data Analyst Support (1-Year Contract)

About the Role Our client is looking for a Data Analyst Support professional for the Plant Facilities Department. The role supports maintenance analytics, dashboard reporting, inventory analysis, AI-driven maintenance processes, and data-backed recommendations for preventive and corrective maintenance planning. Key Responsibilities Analyse data collected from Maintenance Alert Systems to identify performance trends, anomalies, and root causes. Process large datasets to generate actionable intelligence for preventive maintenance and corrective rectification works. Develop dashboard displays for real-time monitoring of maintenance KPIs. Deploy interactive dashboards in Power BI, Tableau, or equivalent tools to improve visibility of maintenance performance metrics. Prepare and present data-driven solutions and recommendations for upcoming maintenance works. Integrate AI and digital solutions to support predictive planning and optimise maintenance schedules. Manage receiving and issuing data for maintenance parts to support smooth operations. Track and project spare parts requirements aligned with maintenance schedules. Consolidate monthly inventory stock level reports for management review. Use AI tools to correlate maintenance data with inventory levels and improve forecasting accuracy. Support and develop AI-driven Maintenance Work Process (MWP), Maintenance Knowledge Management (MKM) System, and Maintenance Work Order (MWO) System. Requirements Bachelor's Degree or Diploma in Data Analytics, Software, AI, ora related discipline. Preferably more than 2 years of experience in data analysis and AI-driven solutions. Experience in manufacturing and facilities maintenance environment is preferred. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to transform complex datasets into actionable insights for stakeholders. Technical Skills / Tools SQL, Python, R, and Advanced Excel Power BI, Tableau, dashboarding, and reporting automation AI workflow tools including MS Copilot Cowork and Claude Maintenance CMMS and Maintenance Alert Systems preferred ERP systems such as SAP and Ariba preferred Inventory tracking modules preferred Workday, Outlook, and Microsoft Teams Data correlation and forecasting models Working Hours: Monday to Friday 7.42am to 5pm (overtime whenever required). Working Area: West (Company transport provided) 📩 How to Apply: Click "APPLY NOW" or send your CV to phoebe@link2.com.sg. Please Note: Only shortlisted candidates will be contacted. Ngiew Win Min (Phoebe) CEI Reg: R1550476 Link2 Manpower Pte Ltd EA License No: 22C1131