Real Estate Data Quality Analyst

CBRE Group, Inc.; Kuala Lumpur; Vor Ort; MYR 60.000 - 100.000; Vollzeit

Zusammenfassung

CBRE Group, Inc. is seeking a meticulous Real Estate Analyst in Kuala Lumpur, Malaysia to ensure data accuracy and reliability in client systems. You will review lease documents, analyze real estate data, and generate comprehensive reports to support operations.

The role requires a rostered schedule with 5 working days per week and availability on weekends/public holidays. Strong analytical, communication, and collaborative skills across international teams are essential for success.

Qualifikationen

• Bachelor's degree in Business or a related field.
• Basic knowledge of leasing and legal contracts.
• Strong analytical skills 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.
• Proactive approach to identifying and resolving data issues.

Aufgaben

• 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.
• Work on a rostered schedule of 5 working days per week with 2 rest days.
• Willing to work on weekdays, weekends and public holidays as required.

Kenntnisse

Analytical skills

Data analysis

Communication skills

Team collaboration

Ausbildung

Bachelor's degree

Jobbeschreibung

CBRE Group, Inc. is seeking a meticulous Real Estate Analyst in Kuala Lumpur, Malaysia to ensure data accuracy and reliability in client systems. You will review lease documents, analyze real estate data, and generate comprehensive reports to support operations.

The role requires a rostered schedule with 5 working days per week and availability on weekends/public holidays. Strong analytical, communication, and collaborative skills across international teams are essential for success.