Top Data & Analytics Jobs

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.

Develop and support business intelligence solutions for Identity and Access Governance. Build Tableau and Power BI dashboards, optimize complex SQL queries and data models, automate ETL and reporting workflows, validate data quality and performance, analyze large datasets, and provide actionable recommendations. The role also involves stakeholder collaboration, documentation, training, troubleshooting, and developing SQL Server objects and SharePoint-based automation solutions.

Own and govern material master data across SAP and integrated systems, improve data quality and processes, lead transformation (automation, standardization), partner with IT and business for scalable S/4HANA/MDM solutions, conduct root-cause analysis, and support audit readiness to enable downstream supply chain and manufacturing processes.

Leads procurement data governance, quality operations, master data management, performance metrics, reporting, and AI-readiness strategy. Owns governance frameworks, data quality KPIs, lineage, dictionaries, glossaries, cross-system mapping, and agent-enabled operating models. Manages a multi-region team and partners with IT, security, compliance, AI, and procurement stakeholders to improve data reliability, ERP readiness, automation, and measurable business value.

Lead Informatica enterprise integration and MDM architecture across PLM, ERP, MES, and cloud. Design and implement IDMC/MDM solutions for customer, supplier, product, and BOM domains, build integrations with SAP, Teamcenter, Snowflake, and others, define matching/mergemanship and survivorship strategies, develop data quality and pipeline processes, run POCs, and produce architecture/design documentation while collaborating with business and IT stakeholders.

Design and implement scalable data architectures and end-to-end batch and real-time ETL/ELT pipelines across GCP and Snowflake. Develop dimensional models, optimize queries and costs, execute data migrations, integrate diverse data sources, and implement security, governance, monitoring, lineage, and quality controls. Partner with data scientists, analysts, product, and business teams to translate requirements into reliable technical solutions.

Semiconductor yield analysis internship focused on reviewing experimental data, identifying device performance shifts and process anomalies, improving measurement accuracy, and using inline data and machine learning to predict cell performance. The intern will collaborate with process integration, process engineering, and data science teams while developing root-cause analysis, process improvement, and technical communication skills.

Build and operate scalable data ingestion, ETL/ELT, workflow orchestration, schema management, and incremental processing pipelines. Develop secure multi-cloud landing zones across AWS, GCP, and on-premises environments using Terraform, Kubernetes, Docker, and CI/CD. Implement cloud security, hybrid connectivity, monitoring, observability, and cost optimization for large-scale workloads. Partner with IT, AI, data science, product engineering, and manufacturing teams to deliver reliable data platform capabilities.

The Staff Engineer, Data role focuses on Big Data engineering, developing ETL processes, database modeling, and machine learning systems. Requires strong analytical skills and collaboration in a dynamic team environment.