Global Logistics Data Analyst – BI & Process Mining

Applied Materials, Inc.; Singapore; On-site; SGD 70,000 - 95,000; Full time

Job summary

Applied Materials, Inc. in Singapore is seeking a data scientist/data analyst to support data-driven solutions across our global logistics network.

The role focuses on transforming complex logistics data into actionable insights through dashboard development, data visualization, and business intelligence solutions. The successful candidate will collaborate with cross-functional teams to develop capabilities using Tableau, Celonis, Databricks, SAP, and other enterprise data platforms across

Qualifications

• Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Supply Chain, Statistics, Mathematics, Analytics, Information Systems, or a related field.
• Recent graduate or graduating within the current academic year.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and data visualization concepts.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Develop, maintain, and enhance Tableau dashboards that support operational performance, cost management, and customer service metrics.
• Build interactive visualizations that enable stakeholders to monitor KPI performance and identify improvement opportunities.
• Perform data analysis to uncover trends, anomalies, and business insights across logistics operations.
• Automate reporting processes to improve data accessibility and reduce manual effort.

Skills

Analytical thinking

Communication to non-technical

Problem solving

Excel data visualization

Education

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Supply Chain, Statistics, Mathematics, Analytics, Information Systems, or related field

Tools

Tableau

Power BI

Python

R

SQL

SAP

Job description

Applied Materials, Inc. in Singapore is seeking a data scientist/data analyst to support data-driven solutions across our global logistics network.

The role focuses on transforming complex logistics data into actionable insights through dashboard development, data visualization, and business intelligence solutions. The successful candidate will collaborate with cross-functional teams to develop capabilities using Tableau, Celonis, Databricks, SAP, and other enterprise data platforms across