Quality Assurance Intern, Data Analytics

About Our Group

The Recording Media Operations Factory Quality team helps ensure consistent product quality by monitoring factory performance, reviewing materials that require further assessment, and supporting the follow-up of internal and customer quality matters. We collaborate with Engineering, Manufacturing, Supplier Quality Engineering, Applications, and teams at other sites.

As an intern, you will receive guidance from experienced Quality Engineers while contributing to meaningful projects involving data analysis, dashboards, automation, and quality monitoring. This is an opportunity to gain practical experience, explore new digital tools, and see how data supports decision-making in an advanced manufacturing environment.

About The Role - You Will

As a Quality Assurance Intern, you will work alongside Quality Engineers to explore ways of improving existing processes using tools such as artificial intelligence, dashboards, Microsoft Excel, and Python. Depending on your background and interests, you may:

• Support the development and enhancement of dashboards used to monitor factory quality indicators.
• Explore how data tools, artificial intelligence, or coding can help organize information and simplify repetitive tasks.
• Assist in identifying unusual data patterns and presenting clear, actionable observations.
• Contribute to the development of simple notification or tracking solutions that help engineers follow up on potential issues.
• Participate in selected day-to-day quality activities to gain broader exposure to factory operations.
  
  

What Will You Learn and Embark on at the Start

With Support From The Team, You Will

• Learn the fundamentals of factory quality processes, including material review, finished-goods inspection, and quality data analysis.
• Become familiar with key quality indicators, common data sources, and how the factory monitors quality performance.
• Explore existing dashboards and monitoring systems and identify potential opportunities for improvement.
• Learn from Quality Engineers and other cross-functional partners through practical assignments and regular guidance.
  
  

What You Would Ultimately Be Able to Be Proficient In

By the end of the internship, you will have opportunities to:

• Build practical skills in Microsoft Power BI, Microsoft Excel, data visualization, and quality reporting.
• Gain exposure to quality management in an advanced manufacturing environment.
• Apply your academic knowledge to interpret quality trends, inspection results, and engineering data.
• Use artificial-intelligence-enabled tools responsibly to support reporting, summarize trends, and highlight potential data gaps or unusual patterns.
• Develop practical digital solutions that support decision-making, reduce manual effort, and improve visibility of quality performance.
• Strengthen your communication and collaboration skills by working with different engineering and business functions.
  
  

About You

We welcome individual who are curious, eager to learn, and interested in working with data and digital tools. You do not need to be an expert in manufacturing or quality, we value a positive learning attitude and will provide guidance as you develop your skills.

• Interest in digital tools: You are curious about how automation, data visualization, and dashboards can improve everyday work.
• Analytical mindset: You enjoy exploring data, asking questions, and looking for meaningful patterns.
• Communication: You are willing to share your observations and explain your work clearly, with support from the team.
• Collaboration: You enjoy learning from others and working with colleagues from different technical and business functions.
  
  

Your Experience Includes

• Currently pursuing a bachelor's degree in Data Analytics, Data Science, Engineering, Computer Science, Information Systems, or related discipline.
• Some exposure to Microsoft Excel, Microsoft Power BI, data visualization, programming, or data analysis through academic projects, coursework, or personal learning.
• Interested in using artificial intelligence or digital tools for data analysis, automation, reporting, or productivity improvement.
• Exposure to statistics, inspection data, or quality concepts is helpful but not required.
• Curiosity, attention to detail, and a willingness to learn in a collaborative engineering environment.
  
  

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

Location: Woodlands, Singapore, W2

Travel: None