AI-Powered Sustainability Intern: Data Dashboards & Analytics

Micron; Singapore; Presencial; SGD 20.000 - 27.000; Jornada completa

Descripción de la vacante

Micron Singapore offers an internship on an AI-powered Sustainability Command Center project. You will develop a structured data model, ingest and transform utility datasets, and build a Power BI dashboard for sustainability performance monitoring under experienced guidance.

The role emphasizes AI-assisted analytics, anomaly detection, and automated reporting, with collaboration across engineering, facilities, and sustainability teams. Five-month program Jan–May 2027.

Formación

• Familiarity with data analytics, data modelling, data visualization, or reporting automation.
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• Experience with Power BI, Excel, Python, SQL, Power Platform, or similar tools is advantageous.
• Familiarity with AI concepts and AI-enabled analytics.
• Strong analytical and stakeholder-engagement skills.
• Interest in energy management, water management, carbon accounting, facilities utilities, or environmental sustainability.

Responsabilidades

• Develop a structured data model and repeatable data-processing workflow for selected data.
• Build an interactive Power BI dashboard covering sustainability indicators, trends, and exceptions.
• Apply rule-based or AI-enabled analytics for anomaly detection and insight generation.
• Create an opportunity tracker and automate selected reporting outputs.
• Prepare technical documentation, user instructions, and maintenance guidance.

Conocimientos

Power BI

Microsoft Excel

Python

SQL

Power Platform

AI/Generative AI familiarity

Analytical skills

Stakeholder engagement

Educación

Engineering/Data Science degree

Descripción del empleo

Micron Singapore offers an internship on an AI-powered Sustainability Command Center project. You will develop a structured data model, ingest and transform utility datasets, and build a Power BI dashboard for sustainability performance monitoring under experienced guidance.

The role emphasizes AI-assisted analytics, anomaly detection, and automated reporting, with collaboration across engineering, facilities, and sustainability teams. Five-month program Jan–May 2027.