Data Analyst – Production Engineer Division

Job Description:

As a Data Analyst in the Production Engineer Division, you will play a crucial role in transforming raw data into actionable insights to enhance manufacturing processes and efficiency. Working directly within our factory environment, you will leverage statistical analysis and predictive modeling to drive continuous improvement in our production operations.

• Collaborate with cross-functional teams to gather high-quality production data. Develop and implement data cleaning protocols to ensure accuracy and reliability.
• Apply statistical methods (regression analysis, hypothesis testing, time series analysis) to identify trends, patterns, and anomalies in production data. Create compelling dashboards and reports that translate complex findings into actionable insights.
• Develop and implement predictive models using rule-based logic and machine learning techniques (classification, clustering, forecasting) to anticipate equipment failures, quality issues, and production bottlenecks.
• Partner with software developers to design and implement APIs that integrate production data into applications for real-time monitoring and decision support.
• Recommend data-driven solutions to improve manufacturing efficiency, reduce waste, and enhance product quality.

• Bachelor's degree in Computer Engineering, Computer Science, Data Science, or a related field.
• 0–3 years of experience in data analysis or a related field, preferably in a manufacturing environment.
• Strong proficiency in data analysis tools and programming languages (Python, R, SQL); experience with data visualization tools.
• Solid understanding of statistical concepts and their practical applications in analyzing industrial processes.
• Excellent written and verbal communication skills with the ability to present technical findings to non-technical stakeholders. Working proficiency in English. (TOEIC score preferred but not required).
• Demonstrated ability to approach complex problems methodically and develop effective solutions.
• Ability to understand manufacturing business logic and translate operational requirements into technical solutions.

Preferred Qualifications:

• Hands-on experience with machine learning libraries and predictive modeling techniques.
• Advanced proficiency in data visualization tools and dashboard creation.
• Familiarity with electronics manufacturing processes, quality control methods, and industry standards.
• Experience in API development or working alongside developers to integrate data systems.
• Experience mapping business processes and translating them into data models or analytical frameworks.

Work Arrangement:

• 100% Onsite at the Factory (No remote or hybrid work options available).
• Must be comfortable working in cleanroom environments when necessary and wearing required cleanroom suits.

• Sony product discounts for employees
• Sports support fee to stay active
• TOEIC & JLPT Certificate Allowances
• กองทุนสำรองเลี้ยงชีพ
• การฝึกอบรมและพัฒนาพนักงาน
• ค่าทำงานล่วงเวลา
• ค่าน้ำมันรถ, ค่าเดินทาง
• ค่ายินดีมงคลสมรส
• ค่าอนุโมทนาอุปสมบท 
• ทำงานสัปดาห์ละ 5 วัน
• ประกันสังคม
• ประกันสุขภาพ
• ประกันอุบัติเหตุ
• ลาบวช
• เครื่องแบบพนักงาน, ชุดยูนิฟอร์ม
• เงินช่วยเหลือฌาปนกิจ
• เที่ยวประจำปี หรือเลี้ยงประจำปี
• เบี้ยขยัน, ค่าตอบแทนพิเศษ
• โบนัสประจำปี