Top Data & Analytics Jobs in Singapore

Design, implement, and maintain data-driven processes and analytics solutions. Collect, cleanse, automate, and prepare data from disparate sources. Build KPIs and dashboards, apply statistical and machine learning methods, collaborate with stakeholders, perform testing and deployment, and train users to enable data-driven decision making and process improvements.

The WFD Specialist supports workforce training programs, drives standardization, enhances training effectiveness, and utilizes data analytics to measure outcomes, while collaborating globally.

This role involves building and maintaining data pipelines, developing ETL processes, optimizing data structures, and utilizing AI for enhanced data analytics.

As an Intern Should Cost Analyst, you will analyze data, support procurement objectives, and deliver reporting solutions using various business intelligence tools while collaborating with global teams.

Perform data exploration, statistical analysis, and visualization on FOUP (wafer carrier) transportation datasets to identify factors affecting transport time. Engage stakeholders, develop methodology and optimization recommendations, and present findings.

The Senior Business Analyst will act as Product Owner for Package Health initiatives, managing project execution and system adoption, collaborating with IT to translate business needs into digital solutions.

As a Strategic Category Analyst, you will analyze construction cost data, drive cost-saving initiatives, collaborate with cross-functional teams, and develop frameworks for continuous improvement in cost management.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.