Job Description:
- Collect, clean, and analyse large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
- Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
- Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement.
- Develop reports and visualizations to present findings to clients and internal stakeholders.
- Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes.
- Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
- Build and maintain ETL processes to integrate data from various sources into the data models.
- Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
- Consultation Services: act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency.
- Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
- Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively.
- Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
- Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs.
- Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.
Job Requirement:
- Bachelor's/Master's degree in Data Science, Industrial Engineering, or a related field.
- Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
- Proficiency in SQL and Microsoft Excel.
- Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
- Experience with ETL processes and database management.
- Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
- Ability to work collaboratively in a multicultural, multidisciplinary team.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Willing to travel for international projects and collaborate closely with clients and internal teams.
HOW TO APPLY:
Interested applicants, kindly send your resume in MS WORD format or please click on Apply Now.
We regret only shortlisted candidates will be notified.
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