Agoda

<div>
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.</div>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:
<ul>
<li>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)</li>
<li>Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.</li>
<li>Proactively identify opportunities for growth within supply and the wider business.</li>
<li>Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.</li>
<li>Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.</li>
<li>Automate manual operational processes and present back on time savings gained through modernization of business operations</li>
</ul>
What you’ll Need to Succeed:
<ul>
<li>At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI</li>
<li>Advanced working knowledge and hands-on experience in SQL</li>
<li>Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) </li>
<li>Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)</li>
<li>Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).</li>
<li>A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)</li>
<li>Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.</li>
<li>Experience in conducting A/B testing experimentation</li>
<li>Strong experience in finding data insights and provide business recommendation to the business</li>
<li>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.</li>
<li>Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.</li>
<li>Data driven in both decision making and performance measurement.</li>
<li>Extreme comfort in ambiguous, fast-paced environment.</li>
<li>Ability to multi-task, prioritize and coordinate resources.</li>
</ul>
It’s Great if you Have:  
<ul>
<li>MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).</li>
<li>Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.</li>
<li>Asian market experience.</li>
<li>Travel industry / e-commerce / tech / consulting experience.</li>
</ul>
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<h4> </h4>
<h4>Please review our Hiring Process Guidelines before your interview — click <a href="https://careersatagoda.com/interview/" rel="noopener noreferrer ugc" target="_blank">here </a>to learn how interviewing at Agoda works.</h4>
 
 
<h3>Discover more about working at Agoda</h3>
<ul>
<li>Agoda Careers <a href="https://careersatagoda.com/" rel="noopener noreferrer ugc" target="_blank">https://careersatagoda.com</a></li>
<li>Facebook <a href="https://www.facebook.com/agodacareers/" rel="noopener noreferrer ugc" target="_blank">https://www.facebook.com/agodacareers/</a></li>
<li>LinkedIn <a href="https://www.linkedin.com/company/agoda" rel="noopener noreferrer ugc" target="_blank">https://www.linkedin.com/company/agoda</a></li>
<li>YouTube <a href="https://www.youtube.com/agodalife" rel="noopener noreferrer ugc" target="_blank">https://www.youtube.com/agodalife</a></li>
</ul>
 
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 <a href="https://careersatagoda.com/privacy-statement" target="_blank" rel="noopener noreferrer ugc">privacy policy</a>.
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.</div>

Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

<div>
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.</div>Get To Know Our Team:
Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.
The Opportunity:
<ul>
<li>You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers.</li>
<li>You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.</li>
</ul>
What You’ll Do:
<ul>
<li>Model governed metrics, dimensions, joins, and grain for business domains</li>
<li>Structure expert context, glossaries, and validated question patterns as Git-reviewed assets</li>
<li>Build freshness, drift, and validation signals; treat stale knowledge as a production issue</li>
<li>Expose the layer through APIs so applications and agents get deterministic answers</li>
<li>Enable domain owners to propose, review, and publish knowledge without engineering deploys</li>
<li>Partner across analytics, product, and platform teams on access control and quality standards</li>
</ul>
Required Qualifications:
<ul>
<li>4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling</li>
<li>Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent)</li>
<li>Strong SQL and analytical modeling on OLAP / warehouse systems</li>
<li>Knowledge engineering: versioned definitions, peer review, contributor workflows</li>
<li>API / service mindset: you design for multiple consumers, not a single dashboard</li>
<li>Clear communication across engineering, analytics, and product partners</li>
</ul>
Preferred Qualifications:
<ul>
<li>Open-source semantic layer engines (Cube, MetricFlow patterns)</li>
<li>Agent or tool-interface experience for LLM-powered applications</li>
<li>NL-to-data products, retrieval, or evaluation harnesses</li>
<li>Python or Node.js service development</li>
<li>Large-scale e-commerce or travel analytics environments</li>
</ul>
 
#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #liverpool #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #LI-RS1
 
 

 <div> 
<h4> </h4>
<h4>Please review our Hiring Process Guidelines before your interview — click <a href="https://careersatagoda.com/interview/" rel="noopener noreferrer ugc" target="_blank">here </a>to learn how interviewing at Agoda works.</h4>
 
 
<h3>Discover more about working at Agoda</h3>
<ul>
<li>Agoda Careers <a href="https://careersatagoda.com/" rel="noopener noreferrer ugc" target="_blank">https://careersatagoda.com</a></li>
<li>Facebook <a href="https://www.facebook.com/agodacareers/" rel="noopener noreferrer ugc" target="_blank">https://www.facebook.com/agodacareers/</a></li>
<li>LinkedIn <a href="https://www.linkedin.com/company/agoda" rel="noopener noreferrer ugc" target="_blank">https://www.linkedin.com/company/agoda</a></li>
<li>YouTube <a href="https://www.youtube.com/agodalife" rel="noopener noreferrer ugc" target="_blank">https://www.youtube.com/agodalife</a></li>
</ul>
 
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 <a href="https://careersatagoda.com/privacy-statement" target="_blank" rel="noopener noreferrer ugc">privacy policy</a>.
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.</div>

Agoda

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Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Senior/Staff Data Engineer (BI Domain) - Bangkok based, relocation provided

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