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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Product Engineering Data Analyst

We are looking for a Product Engineering Data Analyst to help the Product Engineering team access, analyse, and act on product, process, yield, and test data faster and more consistently. As a member of the Product Engineering team, you will support data-driven decision making in areas such as yield improvement, product performance, material review, manufacturability, and zero-defect culture.

This is the team's go-to builder of analysis tools, dashboards, and data packages — the person who turns slow, manual, one-off data work into fast, repeatable, maintainable software support. When an engineer needs data pulled, a tool rebuilt, or a recurring report stood up, you're who they come to.

The Role

This role suits either:

• A Product / Process / Test / Manufacturing Engineer moving further into data analytics, or
• A Data Science / Analytics professional moving closer to Product Engineering, manufacturing, yield, and product performance.

You'll work across Product, Process, and Test Engineering, Quality, Operations, Manufacturing, IT / data-system owners, and local and global Data Science & Analytics teams. Primary accountability stays within Product Engineering priorities, with business ownership set by the Product Engineering Manager.

What You'll Do

• Create tools that pull product, process, yield, and test data faster — and recreate legacy tools that are no longer stable, maintainable, or fit for purpose.
• Maintain and improve Product Engineering reports, dashboards, and reporting execution (creation, maintenance, validation, improvement).
• Build product-health dashboards and recurring scorecards.
• Extract, clean, validate, analyse, and present data from multiple sources; validate data quality before outputs are used for engineering decisions.
• Create repeatable analysis methods across wafer-, bar-, die-, device-, and final-test levels.
• Support yield, trend, and parametric analysis, failure Pareto / failure-mode analysis, and product performance monitoring.
• Support investigations into yield loss, scrap, rework, lot holds, and tool excursions by correlating process history, tool history, metrology, SPC, and test results.
• Improve self-service access to common Product Engineering data, working with IT, DSA, MES owners, and other data owners.
• Communicate findings clearly to technical and non-technical stakeholders.
• Support structured problem-solving (8D, DMAIC, Lean, Kaizen) where data analysis is required.

Minimum Qualifications

• Bachelor's degree in Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Physics, or a related technical discipline.
• Experience in at least one of: Product / Process / Test / Manufacturing Engineering; Data Science / Analytics; or manufacturing, quality, or yield analytics.
• Practical experience working with engineering, manufacturing, product, process, test, quality, or operational data — including incomplete, imperfect, or ambiguous data.
• Experience creating, maintaining, improving, or using analysis tools, dashboards, reports, or automated workflows with at least one of:
  • Analysis / scripting: JMP, JMP Scripting Language (JSL), Python, SQL, R, VBA, Excel / Power Query
  • Reporting / automation: Tableau, Power BI, Power Automate
• Basic applied statistics: trend analysis, distributions, correlation, regression, SPC, capability analysis, DOE review.
• Strong communication with technical and non-technical stakeholders, and interest in working close to Product Engineering, manufacturing operations, yield improvement, and product performance.

Preferred Qualifications

• Semiconductor wafer fabrication, III-V / InP processing, optical component manufacturing, electronics manufacturing, or another high-complexity manufacturing environment.
• Understanding of wafer fab flow, product routing, WIP movement, lot history, rework loops, scrap, tool constraints, and metrology limitations.
• Experience with MES, SPC systems, and test / yield / engineering databases or manufacturing reporting systems.
• Experience with wafer-, die-, bar-, device-, or final-test yield analysis, and correlating process / tool history, metrology, SPC trends, and test results.
• Experience supporting material review / MRB, 8D, or excursion review.
• Familiarity with Microsoft Excel, PowerPoint, and SharePoint.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.