Top Data & Analytics Jobs in Singapore

Develop advanced analytics solutions for High Bandwidth Memory manufacturing. Analyze engineering datasets, build automated data pipelines and monitoring workflows, apply statistical and machine learning methods to detect deviations, investigate process-to-product relationships, and create dashboards that improve yield, quality, reliability, and performance insights. The intern will present findings to engineering stakeholders and gain experience in semiconductor product engineering, manufacturing analytics, and AI-enabled engineering solutions.

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.

Develop a scalable web-based dashboard that integrates HBM component validation and production data from multiple sources. Build relational data models, database connections, interactive visualizations, event-based notifications, and traceability features. Explore Agentic AI and Generative AI capabilities to identify test coverage gaps and provide engineering insights. The intern will gain experience in data engineering, full-stack dashboard development, analytics, and semiconductor product validation.

Develop an AI-enabled Tableau analytics platform for High Bandwidth Memory component validation. Responsibilities include creating reusable Python or Java data-processing workflows, designing relational data models, integrating and normalizing validation data, building interactive dashboards, and evaluating AI methods for anomaly detection, root-cause guidance, and engineering insights. The intern will document the architecture, findings, and recommendations and present the completed platform.

Serves as the technical specialist for EHSS data, designing data models, mappings, transformation logic, quality controls, metadata, and reusable datasets. Partners with subject matter experts, IT, and analytics teams to deliver trusted data products supporting reporting, analytics, automation, AI, and operational decisions. Responsibilities include validation, reconciliation, root-cause analysis, testing, deployment readiness, governance, documentation, and long-term sustainment of enterprise data assets.

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.