Senior Analyst (Statistical Analyst) – Supply Strategy and Optimisation (Bangkok based, relocation provided)

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.

Get to Know our Team:

The Supply Optimization and Commercialization (SOCs) team sits within the Product Supply team at Agoda Bangkok. We work closely with the sales department (Partner Services) to identify and optimize growth opportunities on accommodations supply for the company and to set up experiments to measure and implement changes. The projects SOCs team works on directly impact Agoda’s bottom line and have long lasting structural impact to the business. We cover a range of topics including organizational efficiency, sales and product optimization, go to market strategies as well innovation and products. We collaborate with multiple departments and produce highly visible results backed up by experimentation and data. Utilizing powerful tools and possessing an end-to-end view of how Agoda works, the SOCs offers a team of learning and experience that will push you (and Agoda) into new territory.

The Opportunity:

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.

In this Role, you'll get to:

• 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

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.
• 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

It's Great if you have:

• 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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Discover More About Working At Agoda

• Agoda Careers https://careersatagoda.com
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• 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