Top Data & Analytics Jobs

Analyze historical semiconductor AMHS movement data to identify drivers of cross-fab transfers and evaluate AI-enabled optimization strategies. The intern will assess tool distribution, scheduling, staging, test wafer movements, and empty FOUP transfers; develop modeling or simulation concepts; recommend ways to reduce unnecessary transport; and present findings to stakeholders. The project provides exposure to semiconductor manufacturing, logistics optimization, data analytics, Generative AI, and data-driven decision-making.

The MDM Solution Developer/Architect designs and develops Informatica MDM solutions, integrating them with enterprise systems, ensuring high-quality data processing, and collaborating with stakeholders for requirements gathering.

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 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.

Drive semiconductor process improvement by establishing process conditions, upgrading capability, reducing production cost, setting equipment process parameters, evaluating and planning new equipment/materials, performing abnormal analysis and corrective actions, and applying AI/AI-assisted tools to optimize processes.

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

Serve as liaison between business stakeholders and development teams to capture requirements, write user stories, validate deliverables, and build BI reports/visualizations using Power BI/Tableau, SQL, Snowflake and Microsoft BI stack. Support Agile processes, triage requests, and perform testing and user acceptance to ensure analytics meet business needs.

Intern will design, develop, and validate a real-time dynamic scheduling and request-grouping optimization model and prototype algorithm for Autonomous Mobile Robot fleet operations, test performance against current dispatching, and document findings for potential implementation.

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.

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.