Get to Know our Team:

Supply Operations, Analytics & Programs is a team of creative entrepreneurs that develop solutions for Agoda's partners and promote Agoda's top and bottom line growth. We design tailored business and product solutions with our partners and help them generate measurable value. We develop win-win relationships and leverage Agoda's unique accommodations portfolio and tech solutions to bring measurable and scalable improvements to our business development functions.

The team scope focuses in on CRM optimizations, Business Development operational enhancements and the facilitation of new features in our product roadmap. Team members closely work with multiple internal stakeholders in product and tech, finance and legal, marketing and partner services in our HQ as well as in multiple offices around the world.

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.
• Automate manual operational processes and present back on time savings gained through modernization of business operations

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
• Experience utilizing Python for Automation
• Knowledge of Pandas and other associated analytical packages
• An advanced level of SQL including parallel computation approaches (i.e. Spark)

It's Great if you have:

• Tableau/other BI visualization experience
• R Coding experience
• Experience in being able to translate business objectives into analytical hypotheses

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