Chuan Lim Engineering Pte. Ltd. (CLE) - Data Analyst

Location: Singapore
Discipline: Data Science
Job type: Permanent
Contact email:
Job ref: 650550
Published: about 2 months ago
Startdate: 21 December 2022 - 21 December 2022

Chuan Lim Engineering Pte. Ltd. (CLE) was established in 2003 and is registered with the Building and Construction Authority (BCA) under the following scope of services:
Civil Engineering (C1)
General Builder Class 2
With our utmost commitment towards quality, safety and environment, we are certified under ISO 9000 quality by the BCA, Occupational Health and Safety Management System OHSAS 18000. We are still continuingly striving for better quality service and operation excellence.

Chuan Lim Engineering Pte Ltd is managed by a multidisciplinary group of professionals with sound academic qualifications and professional experience. We believe the foundation of our success lies in a commitment to understanding and meeting our clients’ requirements for safety, workmanship, on-time delivery, and value-for-money. Moreover, we see the importance of innovating our processes which has led to us pursuing IoT and automation solutions.

Hence, the seek for innovation has led to us exploring ways to incorporate such solutions to our work to not only improve our work processes but also strive to be the leader in this aspect.
Data Analyst 
Job Description:

  • Maintaining reports, such as Daily Cost Report and Progress Report, summarizing business, financial, and operational data for review by team and other stakeholders

  • Delivering timely analytics, ensuring the accuracy, integrity, and quality of the underlying data

  • Managing master data, including creation, updates, and deletion

  • Compiling analytical and statistical reports as needed

  • Analyzing data, patterns, data flows for a business/ construction problem

  • Reviewing information for accuracy and reconciling data on a regular basis

  • Providing support to users on how to access reports and interpret the data

  • Identifying data trends and makes recommendations for quality improvements

  • Troubleshooting data issues, validate result sets, recommend, and implement process improvements