Working Location: Bangkok, Thailand

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. 

Overview

Agoda is the largest and fastest growing online hotel booking platform in Asia, and as a Booking Holdings company, we are part of the largest online travel company in the world. Travellers choose Agoda because they are confident that they can find the best hotels, at the best price.
As a pricing data analyst you will be responsible for providing insight in customer behaviour, identifying new pricing opportunities that drive profit and growth, and analysing our competitors’ strategies. We expect you to be rigorous and a skilled problem solver. In addition we value having a strong opinion and coming up with own ideas.
We offer a work environment where you can grow in multiple directions: you can become more technical (e.g., become better in coding and data science), more business savvy, or you can focus on leading projects. You will be working together with data analysts, data scientists, developers, business owners and product owners.
Pricing optimisation is one of the most innovative and impactful teams in Agoda. Expect to be surrounded with smart people.
 
Main Responsibilities
  • Provide insight into customer behaviour by analysing and summarising data
  • Look for opportunities that drive profit and growth
  • Create dashboards that automate and visualise your analysis
  • Constantly improve yourself and be willing to learn coding and data science
  • With the help of data scientists, apply statistical modelling, e.g., calculate confidence intervals, do regression/classification, and trim the data
  • Communicate effectively with all the stakeholders and make sure that you meet their expectations
Requirements
  • Bachelor’s degree in a quantitative discipline, ideally Statistics, Maths or Computer Science (advanced degree holders are also encouraged to apply)
  • At least 3-years of experiences in a data analyst position or otherwise in projects involving big data
  • Must be data savvy and love crunching numbers
  • Working knowledge of SQL and/or relational databases
  • Proficient in any one programming language (e.g. Python, Java, Scala or R)
  • Good knowledge of statistics including hypothesis testing and regression
  • Fluent in English with strong communication skills (both written and verbal)

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