Localization Data Analyst, Languages/Content

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)
The Opportunity:
As a Data Analyst,you will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Product department and work closely with other Team members within Agoda. You will be instrumental in ensuring there is consistency in data being used for reporting, identifying value-added data to help the business grow as well as using data to make strategic business decisions. You will be expected to dig into data to provide business insights, guide decision-making and offer valuable inputs to further grow our business model.

Responsibilities:

• Translate business briefs into structured analytical projects by clarifying objectives, defining key questions, and outlining deliverables.
• Analyze large-scale data sets to deliver clear, actionable insights and recommendations to stakeholders.
• Conduct deep dives into customer behavior and language performance to identify growth opportunities and optimize user journeys.
• Support translation automation and MT / AI translation workflows
• Launch data-driven initiatives, develop dashboards, and automate processes for greater efficiency.
• Lead new analytics projects to streamline workflows, enhance reporting, and drive organizational efficiency.

Requirements:

• Bachelor's degree in a quantitative field (e.g., Math, Computer Science, Data Science, Statistics, Engineering, Economics).
• Proficient in SQL, Excel, and Python (Pandas, NumPy) for data analysis, transformation, and automation.
• Skilled in data visualization tools (Tableau, Power BI, Metabase) for building interactive dashboards.
• Strong analytical, problem-solving, and critical thinking abilities; experienced in A/B testing and experimental analysis.
• Detail-oriented, with a focus on data accuracy and quality. - Able to manage multiple priorities in a fast-paced environment.
• Excellent communication and interpersonal skills; able to explain technical concepts to diverse audiences and collaborate across teams

Discover More About Working At Agoda

• Agoda Careers
• Facebook
• LinkedIn
• YouTube

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.