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For Companies At a Glance
- Tasks: Dive into data analysis, optimising marketing campaigns across major platforms.
- Company: Join Agoda, a leading online travel platform connecting millions to global accommodations.
- Benefits: Enjoy a generous relocation package and a vibrant, diverse work culture.
- Why this job: Be part of a data-driven team that values creativity and innovation in travel.
- Qualifications: 2-3 years experience with a degree in a quantitative field; strong analytical skills required.
- Other info: Work in Bangkok with a team of experts from around the world.
The predicted salary is between 30000 - 42000 £ per year.
About Agoda
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.
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:
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
What you’ll Need to Succeed:
- 2–3 years of experience.
- Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
- Strong English communication.
- Solid business acumen.
- Strong statistical and analytical skills.
- Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
- Experience designing and analyzing A/B tests.
- Works independently on daily analytics tasks and provides business recommendations.
It’s Great if you Have:
- Experience in digital marketing.
- Academic research experience.
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.
Data Analyst (Bangkok Based, relocation provided) employer: Agoda
Contact Detail:
Agoda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Bangkok Based, relocation provided)
✨Tip Number 1
Familiarise yourself with Agoda's business model and the travel industry. Understanding how Agoda connects travellers with accommodations and flights will help you demonstrate your enthusiasm and knowledge during interviews.
✨Tip Number 2
Brush up on your data analysis skills, especially in tools like SQL, Python, and Tableau. Being able to showcase your proficiency in these tools can set you apart from other candidates.
✨Tip Number 3
Network with current or former employees of Agoda on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specifics of the Data Analyst role, which can be invaluable during your application process.
✨Tip Number 4
Prepare for potential case studies or practical assessments that may be part of the interview process. Practising how to analyse data and present your findings clearly will help you feel more confident when it comes time to showcase your skills.
We think you need these skills to ace Data Analyst (Bangkok Based, relocation provided)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role at Agoda. Focus on your analytical skills, proficiency in data tools, and any experience in digital marketing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for travel and data analysis. Mention specific projects or experiences that demonstrate your ability to work independently and provide business recommendations.
Highlight Technical Skills: Emphasise your technical skills in Excel, SAS, R, SPSS, Python, SQL, and Tableau. Provide examples of how you've used these tools in previous roles to analyse data and optimise campaigns.
Showcase Communication Skills: Since strong English communication is essential, ensure your application reflects your ability to convey complex data insights clearly. Use concise language and avoid jargon to make your points easily understandable.
How to prepare for a job interview at Agoda
✨Showcase Your Analytical Skills
As a Data Analyst, you'll need to demonstrate your strong statistical and analytical skills. Be prepared to discuss specific projects where you've used data tools like SQL or Python to derive insights. Highlight any experience you have with A/B testing and how it influenced business decisions.
✨Understand Agoda's Business Model
Familiarise yourself with Agoda's services and how they operate within the travel industry. Understanding their performance marketing strategies will help you align your answers with their goals. This shows that you're not just interested in the role but also in the company itself.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and digital marketing. Brush up on your knowledge of Excel, SAS, R, and other relevant tools. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and concisely.
✨Demonstrate Cultural Fit
Agoda values diversity and collaboration, so be ready to discuss how you work in teams and adapt to different cultures. Share examples of how you've contributed to a positive team environment and how you embrace diverse perspectives in your work.
