Analog Microwave or Power, Analysis Skills, Business Operations, Communication Skills, Computer Science, Continuous Improvement, Corrective Action, Cross-Functional, Customer Support/Service, DNA, Data Analysis, Data Quality, Data Visualization Tools, Database Report Tools, Document Management, Documentation, Documentation Standards, Environmental Compliance, Identify Issues, Integrated Circuits (ICs), Manufacturing, Memory Hardware, Microsoft Exchange Server, Organizational Skills, Performance Metrics, Plasma, Power BI, Predictive Modeling, Problem Solving Skills, Process Capability, Process Improvement, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Semiconductor Manufacturing, Semiconductors, System Operations, Systems Analysis, Tableau, Technical Delivery, Technical Support, Technical Writing, Trend Analysis
About Mattson
Company: Mattson Technology, Inc., a 38-year Silicon Valley company, designs, manufactures, markets, and globally supports plasma and rapid thermal processing equipment to fabricate integrated circuits for the global semiconductor industry.
Mattson Technology, Inc. offers processing equipment that utilizes innovative technologies to deliver advanced processing capabilities and high productivity for the fabrication of current and next-generation integrated circuits. Our equipment and technologies are used by leading memory and logic, analog /power device manufacturers worldwide. Innovations from Mattson Technology in Atomic Surface Engineering address the most critical logic and memory manufacturing challenges.
In May 2016, Mattson Technology was acquired by Beijing's E-Town Capital. Our new investor's vision is that Mattson Technology, with its Silicon Valley DNA, will continue to operate as a global, market-driven technology provider serving worldwide semiconductor manufacturing customers. In July, 2025, the company successfully listed in Shanghai's STAR Exchange. As the external trade compliance environment evolves, Mattson Technology now operates independently from the parent company in product, business, and operations, serving customers outside of China.
Job Title: Data Analyst Engineer
Position Summary:
The Data Analyst Engineer is responsible for supporting data-driven decision-making and documentation processes by collecting, analyzing, and interpreting system and operational data. This role will work closely with engineering, technical support, and customer teams to ensure accurate reporting, process standardization, and continuous improvement, particularly in support of customer requirements.
Key Responsibilities:
- Collect, analyze, and interpret equipment and system performance data to identify trends, issues, and improvement opportunities
- Develop and maintain dashboards, reports, and data visualization tools
- Support predictive analysis to identify potential system failures and improve uptime
- Collaborate with Technical Support and Engineering teams to document best known methods (BKMs), procedures, and manuals
- Prepare documentation to align with customer-specific standards and copy-exact requirements
- Manage and maintain documentation related to escalations, corrective actions, and system changes
- Track, manage, and follow up on action items and key deliverables
- Ensure data accuracy, integrity, and consistency across systems and reports
- Support continuous improvement initiatives through data insights and process optimization
Qualifications:
- Master''s degree in Engineering, Computer Science, Data Analytics, or a related field
- 0-3 years of experience in data analysis, engineering, or a related technical role (new graduates encouraged to apply)
- Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)
- Experience with data visualization tools (e.g., Power BI, Tableau) preferred
- Strong analytical, problem-solving, and organizational skills
- Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders
Preferred Skills:
- Experience in semiconductor or manufacturing environments
- Familiarity with technical documentation and process standardization
- Understanding of system performance metrics and predictive analytics