Internship - Data Analyst

Infineon Technologies; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Infineon Technologies invites applications for a Data Analyst intern to migrate and upgrade yield dashboards within the EWM TQTM product suite. You will be guided by a mentor to ensure accurate transition and enhancement of reporting tools visualizing yield and compensation data.

The role offers hands-on data engineering exposure, focusing on reliability and performance of BI assets, under real-world production conditions.

Qualifications

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

Responsibilities

• Migrate and upgrade yield dashboards into a new environment, ensuring data accuracy and functionality.
• Identify and propose new ways to improve dashboard development and reporting efficiency.
• Enhance data handling, visualization quality, and reporting consistency.
• Liaise with stakeholders to gather requirements and ensure alignment.
• Collaborate across departments to support dashboard implementation and adoption.
• Provide support to early adopters and refine dashboards based on feedback.
• Gain end-to-end experience from requirements to deployment of production-grade dashboards.
• Strengthen skills in data extraction, transformation, and validation for yield and compensation reporting.
• Build expertise in dashboard development and data visualization to improve usability and performance.

Skills

Python

AI/ML fundamentals

LLMs/GANs/NLP

Analytical thinking

Curiosity/Initiative

Programming languages

Education

CS/AI/Data Science/SE/EE/Industrial Eng degree

Job description

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

WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Hillary Woo

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