Data Analyst Support (1-Year Contract)

About the RoleOur 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 ResponsibilitiesAnalyse 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.RequirementsBachelor'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 / ToolsSQL, Python, R, and Advanced ExcelPower BI, Tableau, dashboarding, and reporting automationAI workflow tools including MS Copilot Cowork and ClaudeMaintenance CMMS and Maintenance Alert Systems preferredERP systems such as SAP and Ariba preferredInventory tracking modules preferredWorkday, Outlook, and Microsoft TeamsData correlation and forecasting modelsWorking 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 [email protected] Note: Only shortlisted candidates will be contacted.Ngiew Win Min (Phoebe)CEI Reg: R1550476Link2 Manpower Pte LtdEA License No: 22C1131