Data Analytics Engineer

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about using expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible.

• Implement and maintain data‑driven decision making processes.
• Promote a data‑driven culture and provide quality data solutions that create business value.
• Develop metrics, dashboards, and evaluation tools to gauge project and data solution success.
• Collaborate with internal stakeholders to identify, clarify, and capture customer requirements.
• Define KPIs that correlate with on‑time delivery and inventory management.
• Work with manufacturing IT and functional areas to develop strategic business processes with clear business rules.
• Collect, organize, automate, and prepare data from multiple disparate sources for analysis.
• Perform data analysis and mining to generate solutions to business problems and maintain data integrity.
• Collaborate with data architects (IS engineers, BI engineers, DBAs) to ensure data availability.
• Develop and automate batch jobs for data processing and reporting.
• Identify new data sources to create insights aligned with business needs.
• Create data analytics solutions to address business opportunities and add value.
• Understand company strategy, translate business problems into projects, and develop success criteria.
• Explore data using visualization and statistical methods.
• Participate in design, model review, code review, and testing of data solutions.
• Conduct user acceptance testing of data collection forms and analytics solutions with end users.
• Continuously improve solution quality by analyzing data from deployed solutions.
• Provide communication and status updates to stakeholders, managers, and peer groups.
• Build internal and external relationships to broaden influence and learning opportunities.
• Advise stakeholders to maximize benefits to the organization.
• Mentor and coach customers on data‑driven decision making.
• Write, code, test, and analyze data solutions, applications, and automation.
• Utilize best practices to deliver high‑quality data solutions.

Bachelor’s degree in Computer Science, Engineering, Statistics, or Engineering (including industrial/operations engineering).

Minimum2years of industry experience preferred. Strong initiative to find AI solutions to resolve issues.

• Strong analytical, mathematical, and problem‑solving skills.
• Proficient in at least one of the following: Claude Code, Advance Co‑Pilot, Gemini, Java, Python, NumPy, Perl, C/C++, Visual Basic, SQL, JMP, Machine/Statistical Learning, Tableau, Confluence, SharePoint, etc.
• Experience with UNIX/Linux, subversion, agile development methods.
• Familiarity with basic statistics (mean, sigma, p‑value, ANOVA, regression, data mining concepts, SPC).
• Passion for data analysis and delivering data solutions/automation.
• Ability to manage multiple concurrent projects and tasks.
• Self‑motivated and able to work with minimal supervision.
• Excellent customer service, teamwork, consensus building, and communication skills.
• Experience in a semiconductor manufacturing environment is a plus.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact .