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Analyst- Supply Insights (Bangkok based, Relocation provided)

Agoda

Bangkok (Bangkok (One Bangkok Office)) permanent

Posted: May 4, 2026

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Quick Summary

Analyze travel data to provide insights to help Agoda navigate the travel industry

Job Description

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

In this Role, you’ll get to:

• Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)

• Use and analyse data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.

• Proactively identify opportunities for growth within supply and the wider business.

• Drive new analytical initiatives and projects aimed at improving organisational efficiency and shaping Agoda supply.

• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.

What you’ll Need to Succeed:

• A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.

• A good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.

• Bachelor’s degree in a quantitative discipline

It’s Great if you have:

• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark

• Experience in being able to translate business objectives into analytical hypotheses

• Master’s degree in statistics, operations research, or data science

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Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda

• Agoda Careers https://careersatagoda.com

• Facebook https://www.facebook.com/agodacareers/

• LinkedIn https://www.linkedin.com/company/agoda

• YouTube https://www.youtube.com/agodalife

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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