SQE Data Analytics Intern: Dashboards & AI

Seagate Technology; Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

Seagate invites an enthusiastic Data Analytics/SQE intern to digitize inspection data and build dashboards for incoming quality, SAH monitoring, and supplier performance metrics at our Woodlands, Singapore site.

You will collaborate with SQE, Engineering, Quality, Manufacturing, and Procurement to improve data accuracy, reporting discipline, and management visibility while gaining hands-on experience with Power BI and Excel.

Qualifications

• Pursuing a bachelor’s degree in data analytics, data science, or related engineering.
• Proficient in Power BI and Excel with data visualization skills.
• Familiarity with AI tools for data summarization or automation preferred.
• Strong curiosity, attention to detail, and willingness to learn.

Responsibilities

• Digitize and consolidate inspection data from incoming quality, supplier reports, qualification records, and internal tracking files.
• Develop Power BI and Excel dashboards to monitor incoming inspection trends, SAH performance, supplier quality metrics, and qualification progress.
• Use AI tools to improve data organization, automate repetitive reporting steps, identify anomalies, and generate concise insights for SQE reviews.
• Support supplier performance reviews by preparing visual summaries, trend charts, and data-driven action trackers.

Skills

Digital mindset

Analytical thinking

Communication skills

Team player

Education

Bachelor’s degree in data analytics, data science, or related engineering

Tools

Power BI

Microsoft Excel

Job description

Seagate invites an enthusiastic Data Analytics/SQE intern to digitize inspection data and build dashboards for incoming quality, SAH monitoring, and supplier performance metrics at our Woodlands, Singapore site.

You will collaborate with SQE, Engineering, Quality, Manufacturing, and Procurement to improve data accuracy, reporting discipline, and management visibility while gaining hands-on experience with Power BI and Excel.