# Intern- PCS Enterprise Metric Hub

[Micron Technology](https://www.jorb.ai/firms/micron-technology.md) · Singapore · [Analytics / BI](https://www.jorb.ai/jobs/analytics-bi.md)

Micron Technology is hiring a Intern- PCS Enterprise Metric Hub in Singapore. Posted 2026-08-19; applications close 2026-10-18.

**Apply**: https://careers.micron.com/careers/job/43288240

Posted 3d ago.

## Role details

**Our vision is to transform how the world uses information to enrich life for all.**

Join an inclusive team passionate about one thing: using your expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible—while committing to integrity, sustainability, and giving back to our communities.

## Project Details

**Project Title:** PCS Enterprise Metrics Hub Intern

**Location:** Singapore

**Department:** Process Control Systems Engineering

## Project Description

This internship project focuses on developing the foundational elements of a centralized **Enterprise Metrics Hub** that consolidates process control and operational health metrics into a unified reporting framework. The project provides opportunities to explore enterprise reporting requirements, data modeling concepts, and dashboard development using **Power BI**.

## Objective of the Project

Develop a foundational reporting framework for the Enterprise Metrics Hub by defining key performance indicators, evaluating reporting sources, designing a common data model, and developing an initial dashboard prototype.

## Project Scope

  
- Collaborate with stakeholders across engineering organizations to understand reporting requirements and business objectives related to process control metrics.
  
- Develop a KPI Dictionary documenting metric definitions, ownership, calculation methodologies, reporting cadence, and business relevance.
  
- Evaluate reporting assets across approved platforms and establish a structured inventory of available data sources.
  
- Design a common enterprise data model that enables integration of multiple reporting sources into a unified analytics framework.
  
- Develop prototype dashboards that visualize Process Control Readiness, Defense Line Effectiveness, and Excursion Health metrics using Power BI.

## Learning Opportunities

  
- Gain exposure to semiconductor process control methodologies and operational performance measurement concepts.
  
- Learn enterprise data modeling and reporting architecture practices used within manufacturing environments.
  
- Develop Power BI dashboard design and data visualization skills.
  
- Learn approaches for stakeholder engagement, requirements gathering, and technical documentation.
  
- Explore data governance concepts including metric standardization and ownership.
  
- Apply AI-enabled tools and Generative AI techniques to improve productivity, documentation quality, and analytical workflows.

## Deliverables

  
- KPI Dictionary and Data Source Inventory.
  
- Enterprise Data Model Design.
  
- Enterprise Metrics Hub Dashboard Prototype.
  
- Project Findings and Recommendation Summary.

## Impact of Project

This project will improve understanding of how process control metrics can be standardized and visualized within a common reporting framework. The work will provide a foundation for future analytics enhancements and contribute to more consistent reporting practices across engineering organizations.

## Skillsets Required

  
- Familiarity with Power BI, SQL, Python, or equivalent analytics tools.
  
- Understanding of data analysis, reporting, and data visualization concepts.
  
- Strong analytical and problem-solving skills.
  
- Effective verbal and written communication skills.
  
- Ability to work independently on a structured project with defined milestones.
  
- Familiarity with AI tools, Generative AI, AI assistants, large language models, or AI-enabled workflows for productivity improvement and data analysis.

## Course of Interest

The ideal candidate should be pursuing a degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, Information Systems, Analytics, Computer Engineering, or a related engineering discipline.

## Duration of Period

The ideal candidate should be able to commit to an internship period of at least 4 months.

## Applying to this role

This Intern- PCS Enterprise Metric Hub role at Micron Technology runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=micron-technology&job=6a8565d1bd45cacd5fdb54eb)

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Updated: 2026-08-22
Canonical: https://www.jorb.ai/jobs/6a8565d1bd45cacd5fdb54eb
