Technical Support Data Analytics/Productivity Engineer

Tokyo Electron - Portland, OR

Full-time - Entry Level

Portland, OR

5,001-10,000 employees

Computer and Electronic Product Manufacturing

About the position

The Technical Support Data Analytics/Productivity Engineer role at TEL focuses on performing high-value data analytics for semiconductor products to enhance the integration of process equipment into customer fabs. The position involves driving data projects that support manufacturing engineering organizations and providing next-line support for diagnostic systems to expedite resolution pathways.

Responsibilities

• Provides technical support to remote engineers and product support personnel diagnosing, troubleshooting, repairing, and debugging complex electro/mechanical equipment and software.
• Develops new analytic tools for remote engineers and product support personnel with support from the cross-BU data engineering team.
• Supports improvement projects realized from data deep dives and analysis.
• Responds to situations where first-line remote personnel require assistance with ad hoc analysis or help in diagnosing problems in malfunctioning equipment or software.
• Maintains communication regarding technical support activities through meetings, reports, documentation, or other means as required.
• Responsible for early detection of systemic system design, reliability, and maintenance problems using data analysis techniques, including statistical methods.
• May be involved in customer installation and training of data system infrastructure.
• Provides support to customers/users where the product is highly technical or sophisticated in nature.
• Provides technical information and assistance regarding new systems or changes/modifications to existing systems.
• Remains current on equipment/tools through appropriate training, manuals, factory periodicals, and other relevant materials.
• Assists internal sales and marketing staff, as well as customers, to identify new standards, processes, manufacturing techniques, and new technologies to direct factory on future market requirements.
• Actively participates in availability, utilization, PM reduction, BKM generation projects, and safety issues to positively affect overall TEL quality and uptime metrics.
• Remains current on Semi-Standards related to production capabilities of equipment such as e-10 and their relations to equipment states.
• Knowledge of TEL's data networking systems and application suites.

Requirements

• Bachelor's Degree with 2 years of related experience or Master's Degree without experience.
• Must be legally authorized to work in the US without Sponsorship.
• Experience working in Data Science, Data Analytics, or Data Engineering.
• Demonstrated proficiency/willingness to learn Python, DataFrames, SQL, dashboard creation, and BI platforms (e.g., PowerBI, Spotfire).
• Ability to clearly communicate data stories to stakeholders.
• Willingness to work with low-code analytics platform (Knime).

Benefits

• Educational reimbursement to help achieve learning goals.