Top Data & Analytics Jobs

Supports a five-month engineering project improving solid-state drive product development workflows. Responsibilities include analyzing engineering processes, developing Python scripts, SQL data pipelines, dashboards, automation solutions, and visualizations, and evaluating their effectiveness. The intern collaborates with engineering and cross-functional stakeholders to define requirements, validate solutions, document findings, and present recommendations. The role provides exposure to semiconductor manufacturing, engineering data analysis, workflow automation, and potentially AI-enabled information retrieval.

Develop an automated PPJ performance tracking solution for Site Test Equipment Engineering. Extract and consolidate database data, generate Power BI trend charts, map equipment IDs and alarm codes to faulty parts, and enhance dashboard filtering by test platform, DID, equipment, and alarm category. Prepare documentation and user guidance for adoption and maintenance. Potential stretch work includes scheduled refreshes, abnormal-performance alerts, and root-cause analysis views.

Provides L2 production support for enterprise data platforms and ETL/ELT pipelines. Maintains SSIS, Snowflake, BigQuery, and cloud-based data integration workflows; troubleshoots incidents, performs root-cause analysis, tunes queries and pipelines, validates data quality, and improves automation. Collaborates with data engineers, data scientists, and business teams to support analytical workloads, data governance, and reliable data availability across on-premises and cloud environments.

Develop an AI-enabled automation solution for low-yield analysis in semiconductor memory testing. The intern will study test operations, manufacturing systems, test methodologies, data flows, and lot-disposition processes; apply programming, analytics, visualization, and AI tools; validate improvements in efficiency, accuracy, and consistency; and document findings through a final report and presentation.

Develops automation, data pipelines, databases, analytics, machine learning models, reporting tools, and web applications for package technology quality assurance. Analyzes manufacturing, product, and reliability data to support risk assessment and root-cause investigations. Collaborates with engineering teams, communicates findings, trains users, maintains software and reports, and shares analytics best practices across global teams.

Intern will develop an AI-enabled inline health-monitoring and process-drift detection solution for semiconductor Process Integration. Responsibilities include extracting and validating process metrics, creating dashboards and visualizations, analyzing large datasets, exploring AI tools for process-window optimization, and prototyping AI agents for engineering workflow automation. The intern will collaborate with engineers, document findings, and deliver a reusable monitoring solution and handover package.

Intern will analyze semiconductor manufacturing and quality data to detect cell metric drift and potential quality excursions. Responsibilities include statistical analysis, detection modeling, correlation analysis, dashboard and visualization development, AI-enabled data exploration, and technical documentation. The intern will collaborate with engineering teams and deliver a monitoring methodology, analytical report, recommendations, and final presentation.

Analyzes semiconductor photo manufacturing data to identify factors affecting train size, throughput, cycle time, tool utilization, and reticle availability. The intern will build predictive or simulation models, dashboards, and recommendations to optimize manufacturing performance and factory output. Responsibilities include collecting and validating data, analyzing historical trends, evaluating optimization scenarios, and presenting findings.

Intern will map High Bandwidth Memory sample workflows, clean and analyze manufacturing data, develop predictive models, forecast burn-in resource demand, and build Power BI or Tableau dashboards and automated alerts. The role supports workflow optimization, risk monitoring, process documentation, and stakeholder recommendations across semiconductor planning and reliability operations. Candidates gain experience in predictive analytics, business intelligence, AI-enabled workflows, and manufacturing systems.

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.