Data Analyst (Bangkok Based, Relocation Support Provided)

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 experi...

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.

You will work in the Data Analytics team to deliver significant and action-oriented analyses and recommendations to your stakeholders, to help drive decision-making with insights from customer data analysis. 
Your work will be project-oriented, since you will get the opportunity to own analytical projects, starting from understanding stakeholder needs and problem definition, to the analysis and interpretation of results as well as communicating the findings to the Operational teams or other groups in Agoda (Marketing, Product, Partners Services). Typical analysis projects can be: 
Predictive modeling, e.g. of customer wait times or future call demand 
Segmentation of customers based on differing usage patterns of our customer service 
Design and implementation of new dashboards for business users
Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making 
Understand and report to your team and senior management on business performance 
Ensure delivery of regular reports on time and without error 
Self-manage delivery of analytical projects  
Defining the business problem 
Determining the analytical approach 
Efficiently extract relevant data 
Appropriately use statistical and data analysis techniques 
Sharing your findings using impactful data visualizations and efficient communication 
Balance multiple priorities, updating stakeholders on progress and expected delivery 
Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation 

Bachelor’s degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results 
Freshers until 4 years of relevant experience, preferably working with large datasets and experimentation 
SQL proficiency required: can extract data from large databases using SQL to develop data queries 
Excellent problem-solving skills including the ability to analyze and resolve complex problems 
Expert Excel user: able to understand and build complex spreadsheets 
Strong business sense 
Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds 
Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines 
Fluent in English both spoken and written – additional languages are a plus 
Curious, proactive, practical and solution-oriented with “Get it done!” attitude 
Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels 
Interested in telling an impactful story with analysis and smart data visualization, not just number crunch 
Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience 
Able to work in a highly multi-cultural team 
Attentive to detail and committed to data integrity 
Aware of the importance of discretion, confidentiality, and ethical behavior 
Experience in management consulting 
Expert in one data analysis package, such as R or Python 
Experience with dashboarding / visualization software like Tableau