AI-Driven Sustainability Data & Dashboard Intern

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; In loco; SGD 20.000 - 25.000; Tempo pieno

Descrizione del lavoro

Micron Technology, Inc. in Singapore is inviting applicants for a full-time five-month internship (January to May 2027) within the MSBH Facilities group to build an AI-powered Sustainability Command Center.

You will assess data sources, design a structured data model, and develop an interactive Power BI dashboard for energy, water, cost, and carbon metrics. Under guidance from engineering and digital professionals, you will explore AI-enabled analytics, anomaly detection, and automated

Competenze

• Familiarity with data analytics, data modelling, data visualization, or reporting automation.
• Experience with Power BI, Microsoft Excel, Python, Structured Query Language, Power Platform, or similar tools is advantageous.
• Familiarity with Artificial Intelligence, Generative AI, AI-Assisted analytics, or AI-Enabled workflows.

Mansioni

• Develop a structured data model for energy, water, utility data, cost, and emissions information.
• Build an interactive Power BI dashboard covering sustainability indicators, trends, and opportunities.
• Apply rule-based or AI-enabled analytics for anomaly detection, insight generation, and prioritization.
• Create an opportunity and benefit tracker and automate selected reporting outputs.
• Prepare technical documentation, user instructions, data dictionary, and solution architecture.

Conoscenze

Data analytics

Data modelling

Data visualization

Reporting automation

Power BI

Excel

Python

SQL

Power Platform

AI-Enabled analytics

Stakeholder engagement

Formazione

Mechanical Engineering

Electrical Engineering

Energy Engineering

Environmental Engineering

Data Science

Computer Engineering

Sustainability

Strumenti

Power BI

Excel

Python

SQL

Power Platform

Descrizione del lavoro

Micron Technology, Inc. in Singapore is inviting applicants for a full-time five-month internship (January to May 2027) within the MSBH Facilities group to build an AI-powered Sustainability Command Center.

You will assess data sources, design a structured data model, and develop an interactive Power BI dashboard for energy, water, cost, and carbon metrics. Under guidance from engineering and digital professionals, you will explore AI-enabled analytics, anomaly detection, and automated