Senior Analyst– Supply Strategy and Optimisation
Quick Summary
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.
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.
The SOCs Analytics team is a sub-team within the SOCs team and serve as subject matter experts on analytics, automation, business intelligence, data, and experimentation. We work closely with the other business, product, and analytics teams to develop and build analytical products, systems and automated processes, as well as drive analytical projects to improve organisational performance and drive revenue growth for the company.
- Use and analyse data from multiple large-scale data warehouses and understand data flows across the entire organisation
- Identify, support, and lead projects aimed at developing conceptual and data-modelled frameworks to optimise business performance on the Supply-side
- Drive new analytical initiatives and projects aimed at improving organisational efficiency
- 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.
- Bachelor’s degree in Statistics or Mathematics
- A strong understanding of statistics and the underlying mathematics behind Machine Learning/ Deep Learning techniques
- A basic understanding of computer science and data, and the ability to implement this understanding in complex business situations
- Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark
- Master’s degree in Statistics, Operations Research, or Data Science
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- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
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.
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.
Location & Eligibility
Listing Details
- Posted
- May 5, 2026
- First seen
- May 5, 2026
- Last seen
- May 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- May 6, 2026
Signal breakdown
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