Product Engineer Data Analytics

Position: Staff Product Engineer Data Analytics
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers.

With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at  and on Linked In and X.The Company Empower Semiconductor, now part of Analog Devices, based in Silicon Valley, powers the AI revolution with its Fin Fast technology by reducing the energy footprint and total cost of ownership of data centers.

Its transformational integrated voltage regulators deliver on-demand scalable power with the speed, precision and signal integrity required by AI processors. Empower’s power-management architecture shrinks solution footprint, height and component count, achieving vertical power delivery with unprecedented power density and efficiency.

The Opportunity We are seeking an experienced Product Engineer with strong expertise in semiconductor manufacturing data analysis to support new product introduction (NPI), qualification, production ramp, and high-volume manufacturing of power management ICs. This role will leverage large-scale manufacturing, test, yield, reliability, and process data to drive product quality, operational excellence, and continuous yield improvement.

Working cross-functionally with design, test, quality, operations, foundry, and OSAT partners, the successful candidate will identify trends, uncover root causes, develop actionable insights, and drive corrective actions through data-driven decision making. The ideal candidate is highly analytical, technically proficient, and comfortable working independently in a fast-paced, multidisciplinary  This Role You Will Own and manage product, test, yield, reliability, and manufacturing data throughout the product lifecycle from NPI through high-volume production.

Analyze wafer sort, final test, assembly, and reliability data to identify yield issues, process excursions, and opportunities for continuous improvement.

Perform statistical analysis, data mining, and visualization of large manufacturing datasets to drive yield enhancement, quality improvement, and cycle-time reduction.

Develop automated data pipelines, dashboards, and reporting solutions to monitor key performance indicators including yield, quality, reliability, WIP, cycle time, and production efficiency.

Drive root cause investigations using statistical methodologies and engineering analysis techniques to resolve product, process, and manufacturing issues.

Partner closely with design, test, quality, operations, foundry, and OSAT teams to identify correlations between test results, process metrics, and product performance.

Support product qualification, characterization, production ramp, and sustaining engineering activities through data-driven analysis and recommendations.

Monitor process and yield trends across multiple manufacturing sites and suppliers, identifying risks and escalation paths before impacting production.

Lead silicon and manufacturing performance reviews, presenting technical findings and improvement opportunities to engineering and management teams.

Support program management activities including milestone planning, manufacturing readiness reviews, risk assessment, resource coordination, and cross-functional alignment.

Maintain product documentation, qualification reports, yield summaries, technical specifications, and manufacturing analytics reports.

Identify and implement…