Tuyển dụng FACA Engineer tại Hồ Chí Minh

• Collect, clean, and consolidate production and test data (yield, defect, …) from multiple sources/stations to build a reliable dataset for analysis.
• Monitor production yield performance through statistical summaries; flag abnormal shifts or drops in real time.
• Perform exploratory data analysis (EDA) on automation testing and manual inspection data to identify defect patterns, correlations, and root-cause hypotheses.
• Apply statistical and analytical methods (Pareto analysis, control charts (SPC), regression analysis, hypothesis testing, and where applicable basic predictive/anomaly-detection models) to support failure investigations and data-driven decision making.
• Build and maintain simple analytical tools, scripts, or dashboards (Excel/JMP/Minitab/Python) to automate recurring data analysis and reporting tasks.
• Translate data findings into actionable insights, supporting the development and implementation of effective Corrective and Preventive Actions (CAPA) to eliminate root causes and improve product reliability.
• Prepare clear, data-backed failure analysis reports and visualizations, communicating findings and recommended solutions to internal stakeholders and external customers.
• Propose, collaborate, and lead data-driven quality improvement initiatives, using metrics to track and validate impact.
• Coordinate with relevant departments and suppliers, using shared data insights to ensure rapid resolution of issues and continuous process improvement.

Yêu cầu công việc

• Bachelor's degree in Optics, Electronics Engineering, Mechatronics, Data Science, Data Analytics, or a related field.
• Preferably 1–3 years of experience in camera module production, precision optics, or imaging test.
• Fresh graduates with a strong background in optics, or in data science/data analytics, are also welcome to apply.

Quyền lợi được hưởng

• Solid understanding of methodologies such as 5 Whys, FTA, Fishbone, 8D.
• Strong analytical and troubleshooting skills.
• Experience with JMP, Minitab, Python, etc.
• Effective communication and collaboration across multiple technical teams and stakeholders.
• Demonstrates accuracy, clarity, consistency, and thoroughness in work.