About the role
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:
Agoda has taken many great strides in recent years, expanding our reach around the globe as well as our list of travel products. A critical driver to this success has been the team of Agoda Finance. We keep a steady hand on maintaining day-to-day financial operations while also keeping an eye out for future opportunities. Not only do we have the unique role of balancing risk management with continued innovation and growth, we also serve as a means of empowerment for both our team members and those within the company. Having experimentation and data analysis deeply ingrained in our culture, we provide the strategic insights Agoda’s business leaders need to push into new territories in sustainable and scalable ways. We also prioritize career development in Agoda Finance. Every function within the team has a well-defined career track with clear goals and development targets each step of the way.
The Opportunity:
Team Lead AI, Data & Analytics will be part of the Finance Systems & Innovation team and reports into the Manager (Data & Analytics). The successful candidate will work on delivering key data and analytics initiatives for various Finance stakeholders with the possibility of contributing to data governance projects as well. This would require working closely with Finance users and Subject Matter Experts (SMEs) to understand and design high quality data solutions and own the data initiatives end-to-end. A successful candidate would be a trusted consultant for the business for setting up efficient data flows, reporting and making data-related analysis and processes as accurate and automated as possible.