Enterprise Metrics Hub Intern — Power BI & AI

Micron Technology; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a PCS Enterprise Metrics Hub Intern to create a centralized Power BI‑based metrics portal for process control health, readiness, and AI adoption.

The project consolidates data from SharePoint, Excel, Power BI, Spotfire and other approved sources into a single reporting platform. You will collaborate with Process Control Systems, Manufacturing Research and Data Analytics, Quality, and Process Engineering to deliver a KPI dictionary, data model, and a

Qualifications

• Familiarity with Power BI, SQL, Python or equivalent analytics tools.
• Understanding of data analysis, data visualization, and reporting concepts.
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Ability to work independently on a structured project with milestones.
• Proficiency in applying AI tools for data analysis.

Responsibilities

• Collaborate with stakeholders to understand reporting requirements and objectives.
• Design and document a KPI Dictionary with definitions, ownership, and value.
• Design an enterprise data model integrating SharePoint, Excel, Power BI, and Spotfire.
• Develop interactive Power BI dashboards with automated refresh and drill-down.
• Deliver dashboards covering Process Control Readiness, Defense Line Effectiveness, and AI Adoption.

Skills

Power BI

SQL

Python

Analytics

Data Visualization

Communication

Independent Work

AI Tools

Education

Bachelor's degree in Computer Science / Data Science / Software Engineering

Tools

SharePoint

Excel

Power BI

Spotfire

Job description

Micron Technology, Inc. in Singapore seeks a PCS Enterprise Metrics Hub Intern to create a centralized Power BI‑based metrics portal for process control health, readiness, and AI adoption.

The project consolidates data from SharePoint, Excel, Power BI, Spotfire and other approved sources into a single reporting platform. You will collaborate with Process Control Systems, Manufacturing Research and Data Analytics, Quality, and Process Engineering to deliver a KPI dictionary, data model, and a