Top Data & Analytics Jobs in Singapore

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.

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.

Lead data engineering and process-mining initiatives to capture Digital Footprints, generate actionable visualizations and AI-driven optimizations, standardize scalable digital processes across Front-End sites, and track productivity and labor-hour savings via dashboards and cross-functional execution.

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.

Intern will design a warehouse inventory database schema, define tracking methods and metrics, build visualization dashboards (Power BI/Tableau), develop a storage-flow simulation, analyze process flows, and document system architecture for manufacturing storage optimization.

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

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 an Industry 4.0 Analyst, you will develop scheduling and simulation solutions, facilitate system adoption, lead project execution, and drive global collaboration.

Lead a team to develop data-driven solutions that optimize planning and operations in the semiconductor industry using advanced analytics.

Lead procurement data strategy to enable agentic AI: design agent-embedded governance, define agent-consumable data requirements, build lineage/catalog foundations, establish machine-readable policies and feedback loops, run experiments, and coach cross-functional stakeholders to operationalize master data and data quality at scale.