Analyst, Pricing (Bangkok Based, relocation provided)

Agoda· Bangkok· Marketing

Posted 2026-10-16

Apply now Prepare with Uhired Download app

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.

About the opportunity

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

In this role, you will shape pricing and commercial strategies for partner opportunities, advise stakeholders on trade-offs, and drive value through execution and experimentation. You will work across Commercial, Product, Data Science, Marketing, and partner-facing teams, often in situations where alignment matters as much as the analysis itself.

What you'll do

Own and evolve pricing strategies and optimization for B2B partner channels.
Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
Evaluate pricing and growth opportunities through structured analysis, including elasticity, incrementality, cannibalization, and scenario modeling where relevant.
Act as a trusted advisor to senior internal and external stakeholders; surface trade-offs, align priorities, and drive decisions to closure; Coordinate cross-functional execution across Commercial, Product, Data Science, Marketing, and operations teams.
Turn complex findings into concise executive narratives, recommendations, and decision-ready materials; Manage strategic partner and vendor interactions when required, including presentations, working sessions, and follow-ups.

What you'll bring

Experience applying quantitative analysis to commercial decisions in technology, e-commerce, travel, management consulting, internal strategy, or pricing.
Strong business judgment and structured problem-solving skills, with the ability to frame ambiguous questions, evaluate trade-offs, and recommend a path forward.
Exceptional stakeholder management and communication skills, including the ability to influence without authority and build alignment across functions, seniority levels, and geographies.
Fluency with data and analytical tools, including advanced SQL; experience with visualization tools such as Tableau or an equivalent platform.
Practical experience designing or interpreting controlled experiments and translating results into decisions.
A high-ownership, bias-for-action mindset and comfort operating in a fast-paced, test-and-learn environment.
A bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.

It's a plus if you have

A background in using quantitative data for decision making within tech, ecommerce , management consulting, internal strategy, or pricing initiatives
Experience building decision frameworks or analytical tools that are used repeatedly in live business decisions.
Working knowledge of Python or R for modeling and scalable analysis.

What success looks like

Become a trusted advisor whose recommendations are clear, rigorous, and commercially grounded.
Turn pricing insights and experiments into decisions and coordinated execution.
Build alignment across stakeholders, functions, and markets.
Develop repeatable approaches that can scale across partners.

#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 microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner

Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda

Agoda Careers https://careersatagoda.com
Facebook https://www.facebook.com/agodacareers/
LinkedIn https://www.linkedin.com/company/agoda
YouTube 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.

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.

Job description

Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover more about working at Agoda