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
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This role is part of the Performance Marketing department at Agoda, focusing on data-driven marketing programs to improve customer lifetime value. The position involves analyzing vast amounts of data to optimize campaign performance and develop predictive models. Responsibilities include experimentation with advertising structures and bidding strategies on various search engines, modeling demand elasticity, and building dashboards to track performance and derive insights. The role requires collaboration with product teams to implement roadmaps and communicate recommendations to stakeholders.
Agoda's Corporate Strategy team works directly with management to deliver business-critical insights through analytics, align cross-functional goals, and drive strategic initiatives. The role focuses on information generation and strategy formulation at the business level, partnering with senior executives across product, supply, marketing, and finance to set strategy and advance key initiatives. Responsibilities include conducting industry and competitor analysis, building performance dashboards, creating business cases, supporting board and management materials, and writing SQL queries. The position is based in Bangkok, Thailand or Tokyo, Japan, with relocation support provided.
This role is based in Bangkok, Thailand, and involves managing customer marketing initiatives within the Performance Marketing department. The Associate Manager will lead data-driven marketing programs designed to improve customer lifetime value. Key responsibilities include optimizing campaign performance through experimentation, developing predictive models to analyze data, and building dashboards to track performance and derive insights. The position requires close collaboration with product teams to implement data science strategies and communicate recommendations to stakeholders.
This role is part of the Performance Marketing Team, a data-driven department focused on developing at-scale marketing programs to improve customer lifetime value. The Senior Analyst, PPC will work across various marketing channels to optimize campaign performance through experimentation and modeling. Responsibilities include analyzing vast amounts of data generated by experiments, developing predictive models using data science techniques, and building dashboards to track performance and derive insights. The role requires close collaboration with product teams and communicating recommendations to stakeholders.
This role is part of Agoda's Performance Marketing team, focusing on data-driven marketing programs to improve customer lifetime value. Responsibilities include experimenting with campaign structures and bidding strategies on search engines and partners, modeling data to understand demand elasticity and campaign impact, and building dashboards to track performance and derive insights. The position requires a quantitative background and experience with data analysis tools.
This role is part of the B2B Digital Marketing team within Agoda's B2B Marketing organization. The team delivers scalable marketing campaigns for partners across B2B2C channels, focusing on operational excellence and growth impact. The Analyst will work closely with Commercial, Product, Data, and regional Marketing teams to execute campaigns, measure performance, and provide data-driven recommendations. Responsibilities include experimenting with ad structures and bidding strategies on platforms like Google and Bing, modeling data to understand campaign impacts, and building dashboards to track performance and derive insights. Candidates must possess a Bachelor's degree in a quantitative subject and have 2+ years of experience in data analysis from top-tier consulting, investment banking, or strategy roles within a fast-growing global tech company. Proficiency in data analysis packages such as SAS, R, SPSS, Python, VBA, SQL, and visualization tools like Tableau or Power BI is required. The role demands the ability to make decisions based on objective evidence, strong organizational skills, and the capacity to work independently.
This role is part of the Performance Marketing Team, a data-driven department focused on developing at-scale marketing programs to improve customer lifetime value. The Analyst will work on search, display, and modeling tasks. Responsibilities include experimenting with text ads and bidding on search engines like Google and Bing, testing and optimizing campaigns on social media platforms, and analyzing data from experiments to develop optimization models and dashboards for account managers.
This role is part of the Performance Marketing Team, a data-driven department focused on developing at-scale marketing programs to improve customer lifetime value. The Analyst will work on experimentation and optimization, analyzing vast amounts of data generated by experiments to develop predictive models. Responsibilities include building dashboards to track performance, deriving insights, and communicating recommendations to stakeholders. The position requires liaising with product teams to implement roadmap changes.
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. 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, engineering, or science) * Ability to communicate fluently in English * 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have: * Experience in digital marketing * Academic research experience