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Real Estate Analyst (Weekend Roster required)

Real Estate Analyst (Weekend Roster required)

cbre asia pacific
Fresher
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

Job ID

288805

Posted

20-Aug-2026

Role type

Full-time

Areas of Interest

Data & Analytics, Sales & Leasing, Transaction Management

Location(s)

Kuala Lumpur - Wilayah Persekutuan Kuala Lumpur - Malaysia

About The Role

We are seeking a meticulous and detail-oriented Real Estate Analyst to join our team. The successful candidate will be responsible for ensuring the accuracy, consistency, and reliability of data input into the relevant client systems. This role involves reviewing lease documents, analyzing and interpreting real estate data, developing data quality standards, and generating comprehensive reports to support the scope and proactively improve outcomes.

As the role requires extended weekday hours and round-the-clock support over weekends, there will be a rostered schedule to manage the resource requirements.

What You'll Do

  • Review and interpret lease documents and terms
  • Analyze and validate data for accuracy, consistency, and integrity.
  • Develop and implement data quality standards and processes.
  • Generate data reports and presentations.
  • Recommend ways to improve data reliability, efficiency, and quality.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Able to work on a rostered schedule of 5 working days per week with 2 designated rest days.
  • Willing to work weekdays, weekends and public holidays as required by business operations.


What You'll Need

  • Bachelor's degree in Business or a related field.
  • Basic knowledge of leasing and legal contracts.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication and presentation skills.
  • Ability to work collaboratively with international and cross-functional teams.
  • Familiarity with data governance and compliance regulations.
  • Strong problem-solving skills and a proactive approach to identifying and resolving data issues.


Why CBRE

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.

OUR VALUES IN HIRING

At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.

About CBRE Group, Inc. CBRE Group, Inc. (NYSE: CBRE), a Fortune 500 and S&P 500 company headquartered in Dallas, is the world's largest commercial real estate services and investment firm and a premier provider of critical infrastructure services. The company has more than 155,000 employees serving clients in more than 100 countries. CBRE serves clients through four business segments: Advisory (leasing, sales, debt origination, mortgage servicing, valuations); Building Operations & Experience (facilities management, property management, flex space & experience, critical infrastructure); Project Management (program management, project management, cost consulting); Real Estate Investments (investment management, development). Please visit our website at www.cbre.com .

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Key Skills

data quality standards

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