Analytics Intern: AI-Driven Real Estate Insights

CBRE Asia Pacific; Singapore; On-site; SGD 10,000 - 17,000; Full time

Job summary

CBRE Asia Pacific invites applications for a motivated Analytics Intern to join their AI-enabled analytics team within Global Digital and Technology for a 7-month internship from January 2027 to July 2027. You will gain hands-on experience in real estate analytics, working with tools like Claude-driven AI, Power BI, SQL, Python and Snowflake.

You’ll support daily analytics tasks, validate data, build dashboards, and learn how data informs strategy and growth across the business.

Qualifications

• Currently pursuing or recently completed a degree in a relevant field (Data Analytics, Business, Statistics, Computer Science, or related)
• Strong interest in data analytics and a willingness to learn new tools and techniques
• Comfortable experimenting with AI platforms; exposure to analytics tools like Power BI, SQL, Python, and Snowflake is a plus but not required

Responsibilities

• Support the Analytics Director and Manager with daily analytics tasks and ongoing projects
• Validate data and maintain dashboards, analytics reports, semantic layers, and AI agents using AI-assisted methods
• Support the building of analytics reports and applications, including products with AI-driven functions (e.g., chatbots, LLM driven analysis)
• Support ETL tasks to ensure high data quality, using AI to work more efficiently
• Help automate reporting workflows with guidance
• Learn to integrate data from multiple sources using tools like Python, Snowflake and PowerQuery

Skills

Data analytics interest

Willingness to learn

AI platform experimentation

Education

Relevant degree in data analytics or related fields

Tools

Power BI

SQL

Python

Snowflake

Job description

CBRE Asia Pacific invites applications for a motivated Analytics Intern to join their AI-enabled analytics team within Global Digital and Technology for a 7-month internship from January 2027 to July 2027. You will gain hands-on experience in real estate analytics, working with tools like Claude-driven AI, Power BI, SQL, Python and Snowflake.

You’ll support daily analytics tasks, validate data, build dashboards, and learn how data informs strategy and growth across the business.