Data & Analytics Strategy Engineer

Analog Devices - Wilmington, MA

Full-time - Mid Level

Wilmington, MA

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

The Data and Analytics Strategy team at Analog Devices, Inc. is seeking a highly skilled Analytics Product Manager to lead the Exensio Manufacturing Analytics platform. This position is pivotal in enhancing engineering productivity and yield gains through the effective utilization of semiconductor manufacturing data. The successful candidate will collaborate closely with users, vendors, and various internal organizations to optimize the platform's capabilities. This role is not just about managing data; it involves a deep understanding of the manufacturing processes and the ability to translate complex data into actionable insights that drive efficiency improvements. In this role, you will serve as the primary technical interface with users and vendors, becoming an expert in the tool's features and functions. You will advise users on new and improved analysis methods, identify use cases that require innovative solutions, and design analysis solutions that can be shared across the organization. As an evangelist for the Exensio platform, you will lead advanced analytics proof-of-concept studies and define the technical requirements for necessary data and system changes. Your leadership will also extend to championing user groups and proliferating best-known methods within the organization. The ideal candidate will possess a strong background in semiconductor manufacturing data, with a proven track record of improving process or product yields. A passion for problem-solving, familiarity with advanced analytics methods, and the ability to thrive in a fast-paced environment are essential. You will be expected to challenge the status quo and drive significant efficiency improvements, making this a dynamic and impactful role within the company.

Responsibilities

• Serve as the primary technical interface with users and vendors.
• Become an expert in the tool's features and functions, advising users on new and improved analysis methods.
• Identify use cases requiring solutions to enhance engineering productivity.
• Design and create analysis solutions to improve engineering productivity and share them with the organization.
• Act as an evangelist for the solution.
• Lead advanced analytics proof-of-concept studies.
• Define and own technical requirements for data and system changes.
• Champion and run user groups, proliferating best-known methods.

Requirements

• 5-10 years of experience using semiconductor manufacturing data for process or product yield improvement.
• Bachelor's or master's degree in Electrical Engineering, Physics, or Math.
• Advanced degree in Data Science is a plus.
• Experience with analytics solutions like JMP, R, Python, SaAS.
• Familiarity with AI and advanced analytics approaches.
• Excellent written and verbal communication skills.
• Ability to work with teams across organizational and geographical boundaries.
• Possess an agile mindset and is comfortable managing change.

Nice-to-haves

• Experience with advanced analytics methods.
• Familiarity with machine learning techniques.
• Knowledge of semiconductor manufacturing processes.