Principal Engineer, Data Analyst Engineering

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description

Broad Functions:

• Factory Product Performance (FPP) Report – work within department and with respective functional departments including Product Engineer and Quality Engineer for report compilation.
• Develop, automate, deploy, provide training, maintain and support automated visualization systems for OCCQ department.
• Improve overall Quality tasks/monitoring by applying Data Analytics & ML skills.
• Provide data extraction and data analysis support to department on OCCQ data.
• Support and maintain OCCQ data system.
• Generate Supplier Quality Regular and Adhoc reports.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Interacts with OCCQ and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets