At a Glance
- Tasks: Dive into data analysis, pricing strategies, and performance marketing to boost our Flights business.
- Company: Join Agoda, a leading travel tech company with a diverse and innovative team.
- Benefits: Relocation support, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers excellent career advancement.
- Why this job: Make a real impact in the travel industry while working with cutting-edge data technology.
- Qualifications: Bachelor’s degree in a quantitative field and strong analytical skills required.
The predicted salary is between 30000 - 40000 £ per year.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs 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 thousands of people from many countries, working across offices worldwide. Data and technology are at the heart of our culture, fueling our curiosity and innovation.
In this Role you’ll get to:
- Be heavily involved in growing our Flights business.
Responsibilities:
- Data analysis: Analyze large data sets generated in experiments, build dashboards, and make actionable recommendations.
- Pricing: Experiment with different pricing frameworks across channels to grow the business.
- Performance marketing: Scale our performance marketing channels (e.g., metasearch, ads).
- Strategy: Work with cross-functional stakeholders to determine an investment plan for markets and channels.
Qualifications:
- Bachelor’s Degree or higher from a top university in a quantitative subject (computer science, mathematics, engineering, statistics, or science).
- Ability to communicate fluently and succinctly in English.
- Good numerical reasoning skills.
- Strong problem-solving skills.
- Proficiency in Excel and SQL.
- Intellectual curiosity.
Nice to Have:
- Exposure to data analysis packages or databases (e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau).
- Experience in digital marketing.
- Experience in travel sector (specifically flights).
Agoda is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment. Employment is based on merit and qualifications and is protected by applicable laws.
Analyst, Flights Marketing (Bangkok Based, relocation provided) employer: Agoda
Agoda is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for those passionate about travel and data. With a commitment to employee growth, we offer opportunities for professional development in a dynamic environment, all while being based in the vibrant city of Bangkok. Our diverse team thrives on curiosity and creativity, ensuring that every employee can contribute meaningfully to our mission of bridging the world through travel.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst, Flights Marketing (Bangkok Based, relocation provided)
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We think you need these skills to ace Analyst, Flights Marketing (Bangkok Based, relocation provided)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Agoda. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Agoda
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.