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Added 6 mins ago
A
Senior Demand Forecast Analyst - NAM
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- Full-time
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Added 1 hour ago
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Added 1 hour ago
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Added 2 hours ago
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Financial Analyst - FP&A
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Agoda

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

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 20, 2026
Experience: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
Posting language: English
Posted: Oct 21, 2026

Original job description

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.

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.

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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.

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More about this job

Responsibilities

Translate business briefs into analytical projects, analyze large-scale data, and present statistically sound insights and recommendations to stakeholders. Identify growth opportunities, lead initiatives that expand the Supply organization’s use of data, and automate operational processes.

Requirements

Candidates should have 2–5 or more years of relevant analyst experience, advanced SQL skills, and hands-on experience with data visualization tools, Excel, and Python or R. A bachelor’s degree in a business or quantitative field, statistical or machine-learning knowledge, experimentation experience, strong communication and stakeholder skills, and comfort working in a fast-paced, ambiguous environment are expected.

Skills

SQL
Data Analysis
Data Visualization
Tableau
Excel
Python
Statistical Modeling
Machine Learning
Hypothesis Testing
Regression Analysis
A/B Testing
Stakeholder Management
Business Recommendations
Process Automation
Data Storytelling
Project Management

Benefits

Relocation Assistance

Visa sponsorship

Not detected in the job text

Keywords

SQL
Tableau
Excel
Python
R
Data Warehouses
Data Analytics
Data Science
Business Intelligence
Data Visualization
Statistical Modeling
Machine Learning
Hypothesis Testing
Regression
Logistic Regression
Random Forest
A/B Testing
Experimentation
Forecasting
Dashboards
Data Products
Process Automation
Supply Analytics
Marketplace Dynamics
Partner Economics
Stakeholder Management
Business Recommendations
Program Management
Travel Industry
E-Commerce

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