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Pacific International Lines (PTE) Ltd

Data Analyst

Pacific International Lines (PTE) Ltd
Singapore · Full-time · Entry

Job Responsibilities

Chart your Course with PIL

With over 55 years of leadership in the global shipping industry, Pacific International Lines (PIL) is looking for proactive individuals to drive innovation and sustainable shipping solutions. If you’re fueled by pioneering ideas, enjoy challenging the status quo, and are determined to make a significant impact, PIL wants you as a part of our dynamic community of maritime professionals.

At PIL, we provide local experiences with a global reach. With our headquarters in Singapore, and services offered at over 500 locations in 90 countries, you will have ample opportunities to work with colleagues from different cultures and communities.

Get On Board for a Dynamic and Purposeful Career.

This role will be responsible for building and maintaining data pipelines to support data analytics and machine learning models, as well as working with large and complex data sets to identify business trends and insights, and to design and implement data models for predictive analysis.

  • Build and maintain data infrastructure and data pipelines to support data analytics and machine learning models.
  • Manage, analyze and visualize large sets of data to turn information into insights accessible through multiple platforms.
  • Develop and deploy machine learning models for various applications such as prediction, classification and clustering.
  • Identify opportunities for automation and optimization of data processes.
  • Collaborate with cross-functional teams to deliver data solutions that drive business outcomes.
  • Develop and implement data governance policies and procedures to ensure data quality and consistency.
  • Managing projects related to data analysis and engineering, including scoping, planning, and execution.

Job Requirements

  • Degree in Computer Science, Data Science, or a related field.
  • Minimum of 3 years of experience in data science, data engineering or a related field.

Key Skills

Ranked by relevance

machine learning data analysis
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Posted
Mar 26, 2025
Type
Full-time
Level
Entry
Location
Singapore

Industries

Transportation Logistics Supply Chain Storage

Categories

Information Technology

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