About the role
About Agoda
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 experiences worldwide.
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.
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 Senior 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:
- 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
Responsibilities are:
- 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
Qualifications and Experience
- Bachelor’s degree in computer sciences, engineering, mathematics, statistics, data science or a related degree program with outstanding academic results
- 6+ 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
Attitude
- 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
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.
- The chance to propose ideas to improve operations based on data and have an impact on the customer experience
- Benefit:
- Relocation package for employees joining from abroad
- International health insurance
- Annual performance bonus
- Parking fees reimburse
- Discount for Agoda employee booking on Agoda.com
Ple
Aplyr's read
Agoda is a dynamic travel booking platform known for its data-driven approach and global workforce, attracting tech-savvy professionals and strategic thinkers.
What's promising
- •Agoda offers relocation packages for many roles, indicating investment in global talent.
- •The company emphasizes data-driven decision-making, appealing to analytically minded professionals.
- •Agoda's diverse role locations reflect its strong international presence and market reach.
What to watch
- •High relocation frequency may indicate a challenging work-life balance.
- •Contract-based roles suggest potential instability in job security.
- •Limited public information about internal career advancement opportunities.
Why Agoda
- •Agoda's focus on data analytics in travel booking sets it apart from competitors.
- •The company supports international mobility with relocation packages for key roles.
- •Agoda's strategic roles in diverse global locations highlight its commitment to market-specific strategies.
Aplyr’s read is generated by AI from public sources. Was it useful?
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