Analyst- Supply Insights (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.
• 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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