Senior Manufacturing Data Analytics Engineer

Analog Devices; Wilmington (MA); On-site; USD 114,088 - 143,400; Full time

Benefits offered by this job

Medical, vision, and dental coverage

401(k)

Paid vacation and holidays

Discretionary performance-based bonus

Job summary

Analog Devices is seeking a Senior Engineer in Manufacturing Engineering to perform data analytics and predictive modeling for semiconductor operations. The role requires a Master's degree in Data Science and 2 years of experience using semiconductor technologies.

You will develop models for wafer demand, maintain collaboration tools, and contribute to process accuracy in a fast-paced environment. Benefits include comprehensive healthcare coverage, 401(k), and a discretionary performance-based bonus.

Qualifications

• Master’s degree in a related field and 2 years of semiconductor experience.
• Demonstrated expertise in data and statistical analysis for manufacturing.
• Ability to develop predictive models and document standard procedures.

Responsibilities

• Perform data analytics on foundry technologies for smooth operations.
• Develop predictive models to support wafer demand and cost estimation.
• Create collaboration tools to enhance cross-functional team workflows.

Skills

Data analytics on semiconductor manufacturing

Oracle SQL

Python

Predictive modeling for wafer cost and capacity planning

Collaboration tools (SharePoint, Confluence)

Education

Master’s degree in Data Science, Data Analytics, or related discipline

Job description

Analog Devices is seeking a Senior Engineer in Manufacturing Engineering to perform data analytics and predictive modeling for semiconductor operations. The role requires a Master's degree in Data Science and 2 years of experience using semiconductor technologies.

You will develop models for wafer demand, maintain collaboration tools, and contribute to process accuracy in a fast-paced environment. Benefits include comprehensive healthcare coverage, 401(k), and a discretionary performance-based bonus.