About the role
6-month Data Analytics Internship supporting semiconductor manufacturing operations through data-driven insights. The role focuses on analyzing production and quality data to improve yield, reduce cycle time, and enhance overall operational efficiency using advanced analytics tools and techniques.
BankingOnsite
Key Responsibilities
- Analyze large datasets from manufacturing systems (MES, ERP) to identify trends and patterns
- Develop and maintain dashboards and reports for key performance indicators (KPIs)
- Collaborate with cross-functional teams including process engineers, quality engineers, and production teams
- Perform statistical analysis to support root cause analysis and continuous improvement initiatives
- Create data visualizations to communicate findings to stakeholders effectively
- Support data mining and predictive modeling projects to optimize manufacturing processes
- Assist in developing automated data collection and validation processes
- Present analytical findings and recommendations to technical and non-technical audiences
Requirements
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics or related field
- Strong analytical and problem-solving skills with attention to detail
- Proficiency in SQL and at least one programming language (Python or R preferred)
- Experience with data visualization tools such as Tableau or Power BI
- Knowledge of statistical analysis techniques and machine learning concepts
- Ability to work independently and collaboratively in a team environment
- Excellent communication and presentation skills
- Prior internship or project experience in data analytics is a plus
- Familiarity with manufacturing processes and systems is advantageous
- Available for full-time internship from April to September