AI-Driven Maintenance Data Analyst

Carrier; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Carrier in Singapore seeks a highly skilled Data Analyst Support to transform complex datasets into actionable insights for preventive and corrective maintenance. You will drive maintenance planning, inventory tracking, and resource allocation using AI-driven solutions and modern dashboards.

The role requires 2–3 years of data analysis experience, strong communication, and the ability to present clear recommendations to management.

Qualifications

• Bachelor’s degree or diploma in data analytics, software or AI discipline.
• Strong analytical and problem solving skills.
• Excellent communication and presentation abilities.
• Preferably 2–3 years in data analysis and AI-driven solutions in manufacturing/facilities maintenance.

Responsibilities

• Lead analysis of data from Maintenance Alert Systems to identify trends, anomalies and root causes.
• Crunch large datasets to support preventive and corrective maintenance actions.
• Develop and present dashboards for real-time maintenance KPIs (Power BI/Tableau).
• Deliver data-driven solutions and recommendations for upcoming maintenance works.
• Integrate AI and digital solutions to support predictive planning and optimize schedules.
• Manage data from receiving/issuing maintenance parts and forecast inventory needs.
• Prepare monthly inventory stock level reports for management review.
• Use AI tools to correlate maintenance data with inventory levels for forecasting.

Skills

Data Analysis

Python

SQL

Power BI

Tableau

Excel

AI Tools

CMMS

ERP Systems

Workday

MS Teams

Outlook

Education

Data Analytics Degree

Tools

SAP

Ariba

Tableau

Job description

Carrier in Singapore seeks a highly skilled Data Analyst Support to transform complex datasets into actionable insights for preventive and corrective maintenance. You will drive maintenance planning, inventory tracking, and resource allocation using AI-driven solutions and modern dashboards.

The role requires 2–3 years of data analysis experience, strong communication, and the ability to present clear recommendations to management.