Lumentum
Product Engineering Data Analyst
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Product Engineering Data Analyst
It's fun to work in a company where people truly believe in what they're doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
About the Role
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 across areas such as:
- Yield improvement
- Product performance
- Material review
- Manufacturability
- Zero-defect culture
This is the team's go-to builder of analysis tools, dashboards, and data packages—the person who transforms slow, manual, one-off data tasks into fast, repeatable, maintainable software support.
When an engineer needs data pulled, a tool rebuilt, or a recurring report established, you're their go-to.
Suitable Candidates for the Role
This role attracts those who can transition from either:
- A Product / Process / Test / Manufacturing Engineer moving further into data analytics
- A Data Science / Analytics professional transitioning closer to Product Engineering, manufacturing, yield, and product performance.
Key Responsibilities
You will work across multiple departments, including:
- Product, Process, and Test Engineering
- Quality
- Operations
- Manufacturing
- IT / Data-System Owners
- Local and Global Data Science & Analytics Teams
Primary accountability lies within Product Engineering priorities, while business ownership is set by the Product Engineering Manager.
- Create tools that pull product, process, yield, and test data faster—and revamp outdated systems that are unstable, cumbersome, or no longer useful.
- Maintain and upgrade Product Engineering reports, dashboards, and reporting frameworks (including creation, maintenance, validation, and enhancement).
- Develop product-health dashboards and recurring scorecards.
- Extract, clean, validate, analyse, and present data from multiple sources to ensure data quality and engineering accuracy.
- Establish and scale repeatable analysis methods across wafer-, bar-, die-, device-, and final-test levels.
- Support yield, trend, parametric analysis, failure Pareto / failure-mode analysis, and product performance monitoring.
- Assist with investigations into yield loss, scrap, rework, lot holds, and tool excursions by correlating process data, tool history, metrology, SPC data, and test results.
- Improve self-service access to commonly used Product Engineering data, collaborating closely with:
- IT teams
- Data Science & Analytics (DSA) teams
- MES owners
- Communicate findings clearly to both technical and non-technical stakeholders.
- Support structured problem-solving methodologies (such as 8D, DMAIC, Lean, and Kaizen) when data analysis is crucial.
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Minimum Qualifications
-
A 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
- Manufacturing, quality, or yield analytics
-
Practical hands-on experience working with engineering, manufacturing, product, process, test, quality, or operations data, including:
- Data that may be incomplete, imperfect, or ambiguous
-
Experience creating, maintaining, improving, or using analysis tools, dashboards, or automated workflows with proficiency in:
- Analysis / scripting: JMP, JMP Scripting Language (JSL), Python, SQL, R, VBA, Excel/Power Query
- Reporting / automation: Tableau, Power BI, Power Automate
-
Knowledge of basic applied statistics including:
- Trend analysis
- Distributions
- Correlation
- Regression
- SPC (Statistical Process Control)
- Capability analysis
- DOE (Design of Experiments)
-
Strong communication skills for bridging technical and non-technical stakeholders while showing interest in close collaboration with Product Engineering, manufacturing operations, yield improvement, and product performance.
Preferred Qualifications
- Experience in 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 (Work in Progress) movement, lot history, reworks, scrap, tool constraints, and metrology limitations.
- Experience working with:
- MES (Manufacturing Execution Systems)
- SPC systems
- Test / yield / engineering databases or manufacturing reporting systems.
- Experience in:
- Wafer-, die-, bar-, device-, or final-test yield analysis
- Correlating process history, tool history, metrology, SPC trends, and test results
- Experience supporting Material Review Board (MRB), 8D, or excursion reviews.
- Proficiency with:
- Microsoft Excel
- PowerPoint
- SharePoint
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About Lumentum
We are illuminating the networks of tomorrow with advanced photonic technologies that enable AI, data centers, telecom, industrial, and sensing applications. As the global demand for bandwidth and energy efficiency accelerates, we deliver the building blocks that ensure data moves reliably, efficiently, and at massive scale.
Our optical products support:
- AI and compute infrastructure
- Cloud and DCI (Data Center Interconnect)
- Metro and long-haul networks While our lasers drive breakthroughs in precision manufacturing and sensing.
Founded nearly five decades ago, Lumentum began with the vision of JDS Uniphase to harness the power of photonics and has since grown into a global leader driving tomorrow’s communication infrastructure.
At Lumentum, we’re not merely building a business—we’re cultivating a team of passionate innovators. Together, we’re fueling a team that is driven to collaborate, create, and connect the world. We are part of the AI technology revolution and illuminating groundbreaking progress.
With our headquarters in San Jose, California, our reach spans global R&D, manufacturing, and sales locations.
Diversity & Inclusion
Lumentum is committed to equal opportunity and values 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 are dedicated to ensuring that individuals with disabilities are provided reasonable accommodations throughout the job application process, interviews, essential job functions, and to receive other benefits of employment.
Please contact us if you require an accommodation.
Your enthusiasm for innovation and a clear passion for transformational work make all the difference—we can’t wait to see it in you.
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