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 (RELOCATION PROVIDED) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations. In this Role, you’ll get to: * **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy. * **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization. * **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams. * **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors. * **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency. * **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements. * **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts. * **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams. What you’ll Need to Succeed: * 5+ years of leadership experience in analytics/data science/insights/strategy * 2+ years’ experience leading analytics, operational, product or other technical teams * Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar * Strong statistical modelling and machine learning knowledge * Strong experience in finding data insights and provide business recommendation to the business * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Ability to multi-task, prioritize and coordinate resources. * Strong program/project management experience. * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) * Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus * People management – track record of developing stars * Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process It’s Great if you Have: * Master’s degree in statistics, economics, mathematics or similar discipline * Experience in conducting A/B testing experimentation * Travel industry / e-commerce / tech / consulting experience #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
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As a Senior BI Developer, you will be a key individual contributor building trusted data products for Agoda’s technology organization, including curated datasets, metrics, dashboards and visualizations, and scalable data transformations. You will work closely with engineers, engineering managers, team leads, and senior leadership to help the organization make better decisions with data. This role combines analytics, metrics definition, and stakeholder consulting with hands-on data engineering and development IN THIS ROLE, YOU’LL GET TO • Act as a partner and consultant to engineering managers and leaders: translate stakeholder and engineering questions into measurable metrics/information such as developer velocity, cost efficiency, and code quality, and keep those definitions consistent across reports. • Design, build, and maintain ETL/ELT transformations, including Spark/Python workflows and warehouse models, so data is accurate, timely, tested, and fit for reporting. As a Senior, review others’ pipeline and metric work, raise delivery standards, and unblock the team. • Analyze large datasets with SQL and Python to support engineering and operational decisions. • Design and maintain dashboards and visual reports so engineering managers and leaders can explore metrics (for example developer velocity, cost efficiency, and code quality) without a ticket for every chart. • Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning. Own published metrics: explain filters and grain, flag numbers that should not be trusted, and recommend next steps. • Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL development, testing, refactoring, analysis, pipeline work, and documentation, and reject unsafe or unverified output before it reaches production or stakeholders. WHAT YOU’LL NEED TO SUCCEED • 5+ years in business intelligence, analytics, and/or data engineering, with experience in both stakeholder consulting and hands-on pipeline or data-product work. • Advanced SQL (joins, window functions, and performance on large datasets). • Strong Python skills (or similar) for building data pipelines. • Experience with ETL/ELT and orchestration (for example Kubeflow or similar). • Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. • Experience building dashboards or visual reports for stakeholders. • Ability to switch context between stakeholder discussions and hands-on technical work — metrics definition/analysis one day, ETL or data modeling the next. • Practical AI-assisted development: generate, review, test, and own the result. You can explain what you trusted AI to draft and what you verified yourself. • Clear written and verbal English, and the ability to work independently with engineers and leaders in an agile environment. IT’S GREAT IF YOU HAVE • Experience with software-delivery practices such as Agile/Scrum and CI/CD (GitHub Actions, GitLab CI, or similar). • Interest in developer productivity or engineering analytics. • Experience with common data platforms / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar). • Hands-on experience with visualization or data-serving UIs such as Apache Superset, Tableau, or a lightweight web app. • Experience building APIs or internal data products beyond dashboards, not only ad-hoc analysis. • A degree in Computer Science, Engineering, Information Systems, or equivalent practical 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. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: * Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) * Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. * Proactively identify opportunities for growth within supply and the wider business. * Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. * Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. * Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: * At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI * Advanced working knowledge and hands-on experience in SQL * Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) * Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) * Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. * Experience in conducting A/B testing experimentation * Strong experience in finding data insights and provide business recommendation to the business * A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Data driven in both decision making and performance measurement. * Extreme comfort in ambiguous, fast-paced environment. * Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: * MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. * Asian market experience. * Travel industry / e-commerce / tech / consulting experience.
About the role We are looking for a talented and motivated DevOps Engineer to join our team. In this role, you will be responsible for managing and optimizing our continuous integration and continuous deployment (CI/CD) processes, ensuring seamless software delivery and infrastructure management. You will collaborate with cross-functional teams to enhance our development and deployment processes, contributing to the overall efficiency and effectiveness of our software development lifecycle. Job Description * Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources. * CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery. * Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell. * Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack. * Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication. * Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards. * Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability. * Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability. * Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures. Qaulifications * Education: Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience. * Experience: [Specify years of experience] years of experience in a DevOps or related role. * Proficiency in scripting languages (e.g., Python, Bash, Powershell). * Experience with infrastructure as code tools (e.g., Terraform, CloudFormation). * Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI). * Familiarity with containerization and orchestration (e.g., Docker, Kubernetes). * Strong understanding of cloud platforms (e.g., AWS, GCP). * Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). * Understanding of security best practices and tools. Preferred * Experience with serverless architectures and microservices. * Experience in a fast-paced, agile development environment. * Knowledge of network and security configurations in cloud environments. * Strong problem-solving skills. * Excellent communication and collaboration abilities. * Ability to work independently and in a team. * Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
Job Description * Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions * Extract insights from large and complex datasets using a variety of tools and techniques * Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling * Present findings and recommendations to stakeholders in a clear and compelling manner * Implement data-driven solutions in various environments, including integration with existing systems and processes * Stay up to date on the latest development in data science and bring new idea and technology to the team * Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time Qualifications * Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field * 4+ years of experience as a Data Scientist, with a focus on industries * Descriptive Analytics * Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path) * Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases * Experience with statistical and machine learning techniques * Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others * Experience with data visualization tools such as Looker Studio, Tableau, and Power BI * Strong problem-solving and communication skills * Experience with Cloud technology and databases (Cloud AWS, Azure, GCP) * Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery
Collaborate with cross-functional team members within and across business units to leverage internal product knowledge and expertise for optimum efficiency. Interact with product management, project management and development teams to develop a strong understanding of the project and testing objectives. Design and create test cases and scripts to address business and technical use cases. Work closely with developers to design test criteria and develop automated tests. Lead and develop the automation strategy/effort and generate scripts to perform automated testing cycles using Robot framework, Python, Shell script Perform both Manual and Automation testing, performance testing, End to End testing. Participate in the architecture and design of a feature early in the development cycle, influencing it to drive quality and adherence to specifications. Create documentation for QA process Maintain regular and punctual attendance at work. Owns continuous improvement for existing and new processes. All other duties as assigned
**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.
You will operate at the intersection of Marketing, data, product development, and generative AI. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing solutions using SQL, Python, and generative AI technologies. You will work directly with data and AI tools to understand user workflows in detail and take ownership of delivering measurable outcomes. The team focuses on a small number of high-impact initiatives, including experiment analysis, business reporting, campaign operations, and SEO/AEO content workflows. You will partner with developers and Marketing teams to turn successful prototypes into reliable products. This includes designing evaluation frameworks, leading user research and pilots, and driving rollout and adoption. You will measure the impact of these products on employee productivity, output quality, and business outcomes. The role requires a strong sense of ownership and the ability to collaborate effectively across Marketing, Analytics, Product, and Technology teams.
You will operate at the intersection of Marketing, data, product development, and generative AI to build scalable solutions. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing prototypes using SQL and Python. You will partner with developers and Marketing teams to turn successful ideas from prototype through deployment and adoption. The focus is on delivering measurable outcomes through AI-enabled tools rather than traditional reporting or coordination. You will quantify opportunities by establishing current effort, pain points, user base, and potential business value. You will design evaluation frameworks covering output accuracy, reliability, usability, safety, and appropriate human review. You will lead user research, pilots, and iterative testing with analysts and channel specialists. The role requires driving rollout, documentation, training, and adoption in partnership with sponsoring teams while measuring hours saved and downstream business impact. You will maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings, and recommendations to senior stakeholders. You will monitor developments in AI capabilities and identify when existing products should be improved, expanded, or retired. You will contribute reusable tools, standards, and playbooks that help Marketing teams build better AI-enabled workflows independently. This is a hands-on role requiring strong product thinking and the ability to break ambiguous problems into structured workstreams.
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 (RELOCATION PROVIDED) **Get to Know our Team:** The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. **The Opportunity:** We are seeking an Associate Director/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations. **In this Role, you’ll get to:** * **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy. * **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization. * **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams. * **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors. * **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency. * **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements. * **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts. * **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams. **What you’ll Need to Succeed:** * 5+ years of leadership experience in analytics/data science/insights/strategy * 2+ years’ experience leading analytics, operational, product or other technical teams * Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar * Strong statistical modelling and machine learning knowledge * Strong experience in finding data insights and provide business recommendation to the business * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Ability to multi-task, prioritize and coordinate resources. * Strong program/project management experience. * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) * Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus * People management – track record of developing stars * Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process **It’s Great if you Have:** * Master’s degree in statistics, economics, mathematics or similar discipline * Experience in conducting A/B testing experimentation * Travel industry / e-commerce / tech / consulting experience #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.