Internship - Data Analyst

As a Data Analyst intern, you will guided by your Mentor in spearheading the migration and upgrade of critical yield dashboards within the EWM TQTM product suite to a new technical environment. Your primary focus will be ensuring the accurate transition and enhancement of reporting tools that visualize key yield metrics and compensation data. This role offers a unique opportunity to apply data engineering skills to improve the reliability and performance of essential business intelligence assets.

Your role
Key responsibilities in your new role

• Dashboard Migration:
  Transform existing yield dashboards into the new environment, ensuring data accuracy, functionality, and a smooth transition.
  
• Process Innovation:
  Identify and propose new ways of working to improve dashboard development, reporting efficiency, and overall workflow.
  
• Method Enhancement:
  Enhance current methods by improving data handling, visualization quality, and reporting consistency.
  
• Stakeholder Liaison:
  Liaise with different stakeholders and information providers to gather requirements, clarify needs, and ensure alignment.
  
• Cross-Functional Collaboration:
  Team up with stakeholders from different departments to support dashboard implementation and drive successful adoption.
  
• Early Adopter Support:
  Provide support to early adopters by troubleshooting issues, collecting feedback, and helping refine the new dashboards.
  
  Internship learning outcomes
• Dashboard Migration & Upgrade:
  Gain end-to-end experience migrating and upgrading production-grade yield dashboards in a new environment, from requirements gathering to deployment.
  
• Data Analytics & Validation:
  Strengthen skills in data extraction, transformation, and validation to ensure accurate yield and compensation reporting.
  
• Visualization & Reporting:
  Build expertise in dashboard development and data visualization, improving reporting consistency, usability, and performance.
  
• Stakeholder Collaboration:
  Learn to work with cross-functional teams, manage inputs from multiple information providers, and translate requirements into deliverables.
  
• Early Adopter Enablement:
  Develop practical experience supporting early users, troubleshooting issues, and iterating improvements based on feedback.
  
• Semiconductor Yield Knowledge:
  Deepen understanding of semiconductor yield computation and common yield KPIs used in operations and reporting.
  
• Yield Planning Exposure:
  Get involved in setting foundry targets and understanding yield planning processes.
  
• Business Context:
  Comprehend how yield data is used in broader business decision-making and performance management.
  
• Real Product Creation:
  Contribute directly to a real, business-critical dashboard product used by teams in production settings.

Your profile
Qualifications and skills to help you succeed

• Educational Background: Pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Electrical/Electronics Engineering, or Industrial Engineering.
• Programming Skills: Knowledge of Python or other programming languages.
• AI/ML Foundations: Familiarity with AI/ML concepts and data analytics.
• Advanced AI Experience: Experience with LLMs, Generative AI, NLP, or Machine Learning is a plus.
• Analytical Thinking: Strong analytical and problem-solving skills.
• Curiosity & Initiative: Curiosity to learn and experiment with emerging technologies.
• Preferred intake: Jan 2026 - May 2026

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Hillary Woo

https://www.linkedin.com/in/hillary-woo/