Get to Know our Team:

The Supply Optimization and Commercialization (SOCs) team sits within the Product Supply team at Agoda. 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 as new 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.

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

#students #LI-VV1