Analyst/ Senior Analyst, Pricing Optimization (Bangkok Based, relocation provided)

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:

Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. 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 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, 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

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Discover more about working at Agoda

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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.