Data Analytics Intern
CBRE Asia Pacific
Job Overview
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Job Description
About the Role
We are looking for a motivated Data Analytics Intern for an 8-month internship (May 2026 - Dec 2026). This role offers hands-on exposure to analytics in the Real Estate sector and is ideal for someone curious about data.
What You'll Do
- Support the Analytics Director and Manager with daily analytics tasks and ongoing projects.
- Assist in data validation and maintaining dashboards and analytics reports using tools like Power BI or Excel.
- Support ETL tasks to ensure data quality.
- Help automate basic reporting workflows with guidance.
- Learn to integrate data from multiple sources using PowerQuery, Snowflake, Python, and other tools.
What You'll Need
- Pursuing or recently completed a degree in Data Analytics, Business, Statistics, Computer Science, or related field.
- Strong interest in data analytics with willingness to learn new tools and techniques.
- Familiarity with Excel; exposure to Power BI, SQL, Python, Snowflake is a plus.
Why CBRE Asia Pacific
Join CBRE Asia Pacific, a global leader in commercial real estate services, and work within a collaborative culture built on respect, integrity, service, and excellence. You will gain valuable insight into how data is used to inform strategy, drive growth, and deliver better outcomes.
Applicant AI Use Disclosure
We value human interaction in understanding each candidate's unique experience, skills, and aspirations. AI tools are not used in hiring decisions and candidates are requested to disclose any use of AI in the application and interview process.
Key skills/competency
- Data Analytics
- Excel
- Power BI
- Python
- SQL
- ETL
- Data Validation
- Dashboarding
- Snowflake
- PowerQuery
How to Get Hired at CBRE Asia Pacific
- Research CBRE Asia Pacific: Understand their real estate and analytics culture.
- Customize your resume: Highlight data analytics and tool experience.
- Prepare for tests: Practice technical screening and proficiency tests.
- Showcase learning: Demonstrate eagerness to learn new analytics techniques.
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