Data Analyst jobs in Bangkok

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. This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok. **Get to Know our Team:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. **In this Role, you’ll get to:** * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. **What you’ll Need to Succeed:** * 2–3 years of experience * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science) * Strong English communication * Solid business acumen * Strong statistical and analytical skills * Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau) * Experience designing and analyzing A/B tests * Works independently on daily analytics tasks and provides business recommendations **It’s Great if you Have:** * Experience in digital marketing * Academic research experience

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. **Get to Know our Team:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. **In this Role, you’ll get to:** * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. **What you’ll Need to Succeed:** * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science) * **Fresh graduation are welcome**(0-1 years of experience) * Ability to communicate fluently in English * Basic business acumen * Proficient in statistics and Excel * Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau) * Familiar with A/B testing concepts * Works under close supervision and supports projects with guidance **It’s Great if you Have:** * Experience in digital marketing * Academic research experience

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. **Get to Know our Team:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. **In this role, you’ll get to:** * Spearhead the development, execution, and optimization strategy for growing Agoda’s new & emerging marketing channels * Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights * Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth * Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau * Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management. **What you’ll need to succeed:** * 4-6 years of experience in Data Analyst position in tech, consulting, e-commerce or digital marketing. * Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance * Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. * Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel · * Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively. * Stakeholder management & communication: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen **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. **Disclaimer** We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. **Apply Now** This position is based in Bangkok and requires full-time, on-site work. Are you willing and able to relocate to Bangkok for this role, if offered the position? (Hybrid - 2 days WFH, 3 days in office) Have you completed Alooba test from Agoda in the last 4 months? How many years of relevant full-time experience do you have? (Excluding internship) Which statement fits best your experience with any of the following: SQL / Tableau / ClickView / SAAS / Google Analytics / Advanced Excel / VBA What is your salary expectation in THB monthly? In which country/region are you currently based? Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? How did you hear about this job? Preferred First Name Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters

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. **Get to Know our Team:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. **In this role, you’ll get to:** * Spearhead the development, execution, and optimization strategy for growing Agoda’s new & emerging marketing channels * Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights * Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth * Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau * Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management. **What you’ll need to succeed:** * 4-6 years of experience in Data Analyst position in tech, consulting, e-commerce or digital marketing. * Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance * Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. * Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel · * Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively. * Stakeholder management & communication: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen

This role focuses on Business Intelligence and Data Analytics for the Shopee Fulfilment business. The Senior Data Analyst will execute complex SQL optimizations and manage data architectures to analyze operational metrics securely. They will translate data into actionable insights to maximize warehouse cost efficiency and streamline seller processes. Additionally, the role involves developing predictive models for demand forecasting and building automated fee-collection systems to ensure billing accuracy and revenue capture.

This role focuses on workforce fulfillment metrics. The Data Analyst will maintain and enhance performance dashboards to provide actionable insights. Responsibilities include managing and improving databases to ensure data integrity and scalability. The position requires analyzing workforce data to identify trends and support decision-making for operational improvements.

This role supports internal management decision-making by producing business performance analysis and economic information of business activities. The position involves establishing management and execution plans, conducting financial supports, and optimizing internal policies and procedures based on business accounting standards. Key duties include participating in monthly reports on management activities, analyzing profits, and managing production cost models. The role requires a professional with a deep understanding of specialized areas, strong analytical skills to evaluate data, and the ability to work with minimal instruction on new assignments.

This role involves analyzing internal and external data using SQL, Python, and Excel to deliver original insights. The analyst will serve as an in-house consultant for AI and data solutions, advising on the adoption of AI tools to solve business problems. Responsibilities include translating complex analysis into accessible reports, maintaining data pipelines and dashboards, and collaborating with stakeholders to build analytics capabilities. The position requires a strong analytical mindset, structural thinking, and the ability to work in a fast-paced environment.

This Associate Data Analyst role is based in Bangkok and focuses on Marketing Analytics within the Performance Marketing team. The position is designed for new graduates and involves working with experts to develop at-scale marketing programs. The role requires fluency in English and Thai, and the ability to analyze data to optimize campaigns across various digital channels. The team is highly data-driven and fosters a learning environment for professional growth.

This role focuses on Business Intelligence and Data Analytics within Shopee's Fulfillment business. The Senior Data Analyst will lead end-to-end data mapping to link warehouse inventory with marketplace products, ensuring real-time visibility. Key duties include designing automated dashboards, executing SQL optimizations, and developing predictive models for demand forecasting. The position also involves building automated billing systems and collaborating with cross-functional teams to drive revenue capture and cost efficiency.

This role focuses on driving the lending business within the Grab ecosystem, specifically targeting financial inclusion for Thailand's micro-economy. You will oversee the end-to-end execution of innovative lending projects, requiring a strong analytical mindset and the ability to manage complex stakeholder relationships across various internal departments and external banking partners. The position is based onsite in Bangkok and involves collaborating closely with the Head of Product and Operations to achieve monthly targets. Your daily work will involve running data analyses to identify gaps in lending processes and developing comprehensive process documentation and presentation decks for regional stakeholders. You will support the team with data validation and User Acceptance Testing (UAT) to ensure system improvements and new product launches are executed smoothly. This is an opportunity to work at the forefront of a dynamic FinTech environment where you can directly impact the financial services provided to millions of users.

We are seeking a business intelligence professional to join our team, specializing in retail, consignment, and fulfillment and warehouse operations. This strategic role involves utilizing advanced data analytics, visualization, and reporting tools to optimize business processes, enhance operational efficiency, and inform strategic decision-making across these sectors. The ideal candidate will collaborate closely with cross-functional teams to analyze complex data sets, identify key trends, and deliver actionable insights that drive business growth and customer satisfaction in retail, consignment, and fulfillment contexts.