About the role
Summer internship focused on semiconductor manufacturing data analytics. The intern will extract, analyze, and visualize data from MES, SPC, and ERP systems to drive yield improvements and operational insights.
Real Estate InvestmentOnsite
Key Responsibilities
- Collect and clean manufacturing data from MES, SPC, and ERP systems
- Develop automated dashboards and reports for key performance indicators
- Perform statistical analysis to identify yield limiters and process variations
- Create data visualizations using Tableau, Power BI, or Python libraries
- Support root cause analysis investigations with data-driven insights
- Build predictive models to forecast equipment performance and yield trends
- Present findings and recommendations to engineering and management teams
- Document data sources, methodologies, and analysis procedures
Requirements
- Currently enrolled in Bachelor's or Master's program in Data Science, Computer Science, Statistics, Industrial Engineering, or related field
- Strong analytical and problem-solving skills with attention to detail
- Proficiency in SQL for data extraction and manipulation
- Experience with Python or R for data analysis and visualization
- Familiarity with statistical analysis tools such as JMP, Minitab, or similar
- Knowledge of data visualization tools like Tableau, Power BI, or equivalent
- Understanding of basic statistical concepts and hypothesis testing
- Ability to work independently and collaborate effectively in a team environment
- Excellent communication skills for presenting technical findings to non-technical audiences
- Prior coursework or projects involving large datasets preferred
- Experience with manufacturing or industrial data is a plus but not required