Data Analyst Support (1 Year Contract)

CARRIER TRANSICOLD PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Carrier Transicold Pte. Ltd. is seeking a Data Analyst Support for the Plant Facilities Department with 2–3 years of data analysis and AI-driven solutions experience.

You will transform complex datasets into actionable insights to enhance maintenance strategies, optimize planning, track inventory, and allocate resources. Superior communication will help present recommendations to management and stakeholders.

Qualifications

• Must have strong data analysis and AI-driven solutions experience.
• Excellent communication and presentation abilities.
• Experience with maintenance data and inventory analytics is a plus.

Responsibilities

• Lead analysis of data from Maintenance Alert Systems to identify trends and root causes.
• Crunch large datasets to derive actionable insights for preventive and corrective maintenance.
• Develop and present dashboards for real-time maintenance KPIs (Power BI/Tableau).
• Deliver solutions and recommendations for upcoming maintenance works based on data insights.
• Integrate AI and digital solutions to support predictive planning and optimize schedules.
• Manage data from receiving/issuing maintenance parts and track inventory alignment.
• Generate monthly inventory stock level reports for management review.
• Correlate maintenance data with inventory levels using AI tools to improve forecasting.
• Develop projections and recommendations for strategic purchasing of parts.
• Streamline inventory reporting processes to reduce manual effort.

Skills

Analytical thinking

Problem-solving

Presentation

Education

Bachelor's Degree in Data Analytics/Software/AI

Tools

SQL

Python

R

Excel (Advanced)

Power BI

Tableau

Maintenance CMMS

ERP (SAP, Ariba)

Workday

Outlook / MS Teams

Job description

We are looking for a Highly skilled Data Analyst Support professional for our Plant Facilities Department with at least 2-3 years of experience in data analysis and AI-driven solutions. Proven ability to transform complex datasets into actionable insights that enhance preventive and corrective maintenance strategies. Adept at leveraging digital tools, AI applications, and dashboarding solutions to optimize maintenance planning, inventory tracking, and resource allocation. Strong communicator with a track record of presenting clear recommendations to management and stakeholders.

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 Workflow Tools: AI-driven tools including MS Copilot Cowork, Claude etc.
• Maintenance Systems Tools: Experience in Maintenance CMMS, Maintenance Alert Systems preferred
• Inventory Management Tools: Experiences in ERP systems (SAP, Ariba), inventory tracking modules preferred
• 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
• Strong 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