Data Analyst/ Senior Data Analyst (Bangkok Based, Relocation Support Provided)

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Overview:

We are looking for analysts to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as a Data Analyst, your insights will impact strategic and tactical decisions driving business growth.

Responsibilities: 

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:

• Design and implementation of new dashboards for business users
• Segmentation of customers based on differing usage patterns of our customer service
• Predictive modeling, e.g. of customer wait times or future call demand

Responsibilities are:

• Balance multiple priorities, updating stakeholders on progress and expected delivery
• Efficiently extract relevant data
• Work with stakeholders to understand their business needs and identify opportunities for analysis insight to inform their decision-making
• Appropriately use statistical and data analysis techniques
• Self-manage delivery of analytical projects
• Sharing your findings using impactful data visualizations and efficient communication
• Defining the business problem
• Encourage and train department members in best practice use of Agoda data, analysis techniques and interpretation
• Determining the analytical approach
• Understand and report to your team and senior management on business performance
• Ensure delivery of regular reports on time and without error

Qualifications And Experience

• SQL proficiency required: can extract data from large databases using SQL to develop data queries
• Expert Excel user: able to understand and build complex spreadsheets
• Strong business sense
• Excellent problem-solving skills including the ability to analyze and resolve complex problems
• Bachelor’s degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds
• Fluent in English both spoken and written – additional languages are a plus
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines
• 2+ years of relevant experience, preferably working with large datasets and experimentation

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
• Able to work in a highly multi-cultural team
• Curious, proactive, practical and solution-oriented with “Get it done!” attitude
• Aware of the importance of discretion, confidentiality, and ethical behavior
• Able and willing to share your opinion and propose ideas to improve operations based on data and have an impact on the customer experience
• Attentive to detail and committed to data integrity
• Interested in telling an impactful story with analysis and smart data visualization, not just number crunch

Good To Have (but Not Required)

• Experience in management consulting
• Expert in one data analysis package, such as R or Python
• Experience with dashboarding / visualization software like Tableau

What We Offer

• Be part of a dynamic and exciting data-driven multinational team in a successful and fast-growing tech company
• A clearly defined career path will help you to continuously develop your skills.
• Parking fees reimburse
• Benefit:
• Discount for Agoda employee booking on Agoda.com
• Annual performance bonus
• Relocation package for employees joining from abroad
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience
• International health insurance

#bangkok#singapore#malaysia#philippines#indonesia#japan#korea#manila#jakarta#india#newdelhi#mumbai#newyork#dublin#ireland#switzerland#germany#berlin#portugal

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.