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

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

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 involves overseeing and coordinating field service activities for Marketing Equipment Management (MEM) across internal and external stakeholders. You will be responsible for managing vendor relationships to ensure alignment with organizational objectives and customer expectations. The position requires close collaboration with the sales team and distribution center teams to prepare equipment and spare parts while maintaining strict adherence to safety and quality regulations. You will also be tasked with tracking vendor performance, controlling inventory accuracy against SAP systems, and ensuring cost-effective usage of spare parts in the field. You will report directly to the Senior MEM Execution Manager and serve as the point of contact for safety management within the department. The role demands a proactive approach to problem-solving and a service-oriented mindset to support both internal teams and external partners. You will ensure all operational activities comply with standard operating procedures (SOPs) and implement necessary action plans to address performance gaps. This is a key operational position that bridges the gap between technical service delivery and business goals.

You will collaborate with various teams at Grab, including Country Business, Operations, Marketing, Engineering, and Product, to understand data requirements and identify key metrics. Your role involves providing tailored, data-driven solutions that support the evolving innovation in the Thai market. You will report to an Analytics Manager and work onsite at the Grab office. You will take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions. You will also contribute to analytics-wide frameworks and integrate operations and marketing workflows into established data solutions. Additionally, you will collaborate with stakeholders to align data initiatives with operational goals and communicate analytical solutions to mid-to-senior level partners.

Within Booking Holdings, an enhanced and more connected B2B business is being built within Booking Holdings consolidating the businesses of Booking.com, Priceline and Agoda into a single global division ("New B2B Business") About the role A build role that owns the entire acquisition funnel for the named universe – from top-of-funnel demand generation to the deepest 1:1 account plays – weighted toward ABM depth. You run one tiered account-based motion: 1:1 & 1:few (ABM) where the value is, and a capped 1:many (Lead Gen) engine over the tail of the same named list. The art of the role is allocating finite team capacity across tiers – protecting 1:1 depth (the deep committee deals fund the whole program) while running an efficient 1:many engine. Player-coach: with a two-person team you personally carry the top 3–5 marquee accounts. Expect roughly 60% leadership / 40% own book; the discipline is protecting the leadership half when your own accounts heat up. What you will do * Own the target universe and the full funnel: tier the named list with BD; decide 1:1, 1:few, or 1:many treatment; set goals, capacity allocation across tiers (~70% toward ABM), and operating rhythm. * Run a capped 1:many Lead Gen engine over the tail – templated, archetype-segmented campaigns built with the shared Marketing Ops Specialist, routed cleanly to BD – deliberately bounded so it cannot crowd out the deep work. * Carry the marquee accounts yourself (player-coach); co-own named accounts with BD; guide committee mapping; own the multi-product narrative and land-and-expand path. * Direct bespoke content and exec engagement; build the playbook; define and own account-level and funnel measurement with MarOps/RevOps; lead and grow the team; sell the program internally. What you will need (required) * 6+ years in B2B marketing and/or sales, with 3+ years in ABM or named-account field marketing. * Full-funnel range – you can run both deep 1:1 ABM and scaled 1:many demand generation against a named list, with the judgment to allocate finite capacity (purely high-volume demand gen with no account depth is not the profile). * Player-coach appetite; demonstrated BD partnership; buying-committee fluency; multi-product selling; account + funnel measurement literacy; CRM/MAP fluency; people leadership; comfort building from scratch. Nice to have * Travel/fintech/loyalty/marketplace or partnership-led experience; ABM-platform exposure; self-serve funnels; ITSMA/ABM certification; new-function or post-merger experience. Why 70/30 (best-practice rationale) At the leadership level, 70/30 keeps the function’s identity anchored in depth: the committee deals carry the revenue and are the fragile, hard-to-rebuild capability, while the scaled engine is a controlled feeder rather than a competing P&L. Capping Lead Gen at ~30% of team capacity lets one Marketing Ops Specialist and a bounded automation motion serve the tail without pulling strategists off marquee accounts. Recommended default when the strategic named list is the primary prize. How we will measure success Primary (70%): committee engagement depth, joint account plans adopted, exec milestones, pipeline influenced, multi-product expansion, and deal velocity on strategic accounts. Secondary (30%): qualified pipeline and meetings from the capped 1:many tier, funnel conversion, and graduation of warming tail accounts. Plus team growth and playbook quality.

You will collaborate with cross-functional teams across Grab, including Country Business, Operations, Marketing, Engineering, and Product, to understand data requirements and identify key performance metrics. Your role involves delivering data-driven solutions tailored to the evolving needs of the Thailand market. You will report directly to an Analytics Manager and work onsite at the Grab office in Bangkok. You will take end-to-end ownership of medium-sized analytics projects, defining methodologies to ensure reliable, scalable, and reproducible solutions. You will contribute to analytics-wide frameworks and integrate operational and marketing workflows into established data solutions. Additionally, you will mentor junior analysts by sharing technical best practices and guiding problem-solving approaches to help them develop their analytical capabilities.

This role focuses on driving category growth and innovation within the hypermarket channel for B&W Thailand. You will be responsible for developing and owning comprehensive channel and account strategies that align with business objectives and consumer needs. The position requires leading category planning processes, securing approvals for investment plans, and establishing strategic partnerships with key customers to strengthen category captaincy. You will also drive the effective deployment of projects and new product development (NPD) into the most relevant channels within the first three months, ensuring operational excellence and end-to-end network delivery. Additionally, you will lead monthly demand planning processes and conduct regular market visits to generate actionable insights that improve in-store execution and identify growth opportunities.

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 Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, **there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:** * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders **What you’ll Need to Succeed:** * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently **It’s great if you have:** * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit #Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #Rio de Janeiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #Kuala Lumpur #Belo Horizonte #South Korea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #Costa Rica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #Porto Alegre #Vancouver #Montreal #Charlotte #San Diego #Ghana #Salt Lake City #Raleigh #Hong Kong #Munich #Prague #Ecuador #Tampa Bay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #Cape Town #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #Jersey City #Irving #Denton #Worcester #Arlington #Overland Park #Aurora District #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #Chiang Mai #Nakhon Ratchasima #Khon Kaen #Hat Yai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #Petaling Jaya #George Town

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 Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe. Due to continued expansion, **there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:** * Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders **What you’ll Need to Succeed:** * Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) * Excellent verbal and written communication skills in English * 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company * Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI * Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel * Innate desire to take ownership, make an impact and influence outcomes * Excellent organizational skills, attention to detail and ability to work independently **It’s great if you have:** * Experience in digital marketing or ecommerce * Experience with A/B testing and other testing metrics * Strong presentation and negotiation skills * Skills that foster collaboration and team spirit #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. ### **Discover more about working at Agoda** * Agoda Careers[https://careersatagoda.com](https://careersatagoda.com/) * Facebook[https://www.facebook.com/agodacareers/](https://www.facebook.com/agodacareers/) * LinkedIn[https://www.linkedin.com/company/agoda](https://www.linkedin.com/company/agoda) * YouTube[https://www.youtube.com/agodalife](https://www.youtube.com/agodalife) **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](https://careersatagoda.com/privacy-statement). **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 Analyst/Senior Analyst/Associate Manager, Marketing Analytics (Bangkok Based, relocation provided) +1 This role is located in Bangkok, with relocation support provided. If you are not currently located in Bangkok, are you open to relocate? Do you have professional experience with any of the analytical tools- SQL or R or Python or Tableau or PowerBI or similar? How many years of relevant full-time experience do you have? (Excluding internship) Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? How did you hear about this job? 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? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. What are your yearly salary expectations in THB including any bonuses? 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  By submitting your Application you confirm you have read and agreed to Agoda applicants [Privacy statement](https://careersatagoda.com/privacy-statement/).