Our Team

At Real Estate Analytics (REA), our team comprises industry experts and dedicated professionals committed to revolutionising the real estate market with advanced AI technology and data-driven insights. With diverse backgrounds in real estate, data science, technology and business, our team collaborates to provide innovative solutions and exceptional service to our clients across Singapore, Malaysia, Hong Kong, and Australia.

employees

60+

Employees

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10+

Nationalities

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1:1

Gender Diversity Ratio

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Working at Real Estate Analytics (REA)

A Culture of Innovation & Respect

At REA, our team is our greatest asset and the heart of the company. We are committed to fostering creativity and inspiring fresh ideas from our employees by providing a supportive environment that encourages innovation and excellence. We value open-mindedness and respect for each other’s ideas, believing that no idea is wrong and every perspective contributes to our collective success.

Work-Life Balance

At REA, we believe that a fulfilling career goes hand-in-hand with a fulfilling personal life. We encourage our employees to lead balanced lives by providing generous paid parental leave and annual leave, allowing them to take time for family, personal pursuits, and rest. We support our team in achieving harmony between their work and personal lives, ensuring they have the flexibility and support needed to thrive both professionally and personally.

Health & Medical Benefits

We are dedicated to promoting a healthy lifestyle for our employees. Every team member receives comprehensive medical coverage, ensuring their well-being and peace of mind. Our health benefits include: comprehensive medical insurance, health screenings, mental health support, and subsidies for health-related expenses.

Diversity and Inclusivity

REA embraces diversity and inclusivity. We celebrate our differences, whether in skills, background, experiences, or expertise. Diverse perspectives are at the core of our success.

REA strictly prohibits any form of discrimination based on age, race, skin colour, gender, sexual orientation, gender identity, religion, citizenship, disability, or any factors unrelated to job requirements.