At a Glance
- Tasks: Analyse data to optimise campaigns and drive business impact in a dynamic travel tech environment.
- Company: Join Agoda, a leading travel platform under Booking Holdings, with a diverse global team.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Work in a vibrant, diverse environment with excellent career advancement opportunities.
- Why this job: Make a real difference in the travel industry using your analytical skills and creativity.
- Qualifications: 4-5 years experience in data analysis and strong communication skills required.
The predicted salary is between 50000 - 70000 € per year.
At Agoda, we bridge the world through travel. Today, we are part of Booking Holdings (NASDAQ: BKNG), with a diverse team working across offices around the globe. We connect people to destinations and experiences with great deals across hotels, flights, and experiences worldwide. Data and technology are at the heart of our culture, fueling curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
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 large volumes of data generated by experiments, develop models for optimization, and build dashboards for account managers.
What you’ll Need to Succeed:
- 4–5 years of experience
- Bachelor’s Degree or higher from a top university in a quantitative subject (computer science, mathematics, engineering, statistics or science)
- Excellent English communication
- Advanced business acumen
- Advanced statistical and analytical skills
- Advanced Excel and data tool expertise (SAS, R, SPSS, Python, VBA, SQL, Tableau)
- Leads A/B testing initiatives and interprets results for business impact
- Operates independently, leads complex projects, and mentors junior analysts
It’s Great if You Have:
- Experience in digital marketing
- Academic research experience
Equal Opportunity Employer: At Agoda, we pride ourselves on a diverse, inclusive environment. Employment is based on merit and qualifications. We are committed to 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, or other legally protected characteristics.
Senior Data Analyst (Bangkok Based) in London employer: Agoda
Agoda is an exceptional employer that fosters a culture of innovation and curiosity, making it an ideal place for a Senior Data Analyst to thrive. With a commitment to diversity and inclusion, employees benefit from a collaborative work environment and ample opportunities for professional growth, all while being based in the vibrant city of Bangkok. Join us to leverage cutting-edge data tools and contribute to shaping the future of travel on a global scale.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Bangkok Based) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Agoda employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your past experiences to demonstrate how you’ve tackled data challenges and made an impact.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply through our website for the best chance at landing that Senior Data Analyst role. We love seeing candidates who are proactive and genuinely interested in joining our team at Agoda!
We think you need these skills to ace Senior Data Analyst (Bangkok Based) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data analysis, A/B testing, and any relevant tools like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and travel. Share specific examples of your past work that relate to the job description. We love a good story!
Show Off Your Skills:Don’t hold back on showcasing your analytical skills and technical expertise. Mention any projects where you’ve used advanced Excel or built dashboards. We’re keen to see how you can bring value to our team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Agoda!
How to prepare for a job interview at Agoda
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like SAS, R, and SQL. Brush up on your advanced Excel skills too, as you might be asked to demonstrate your proficiency during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used your analytical skills in past roles. Think about A/B testing initiatives you've led and the impact they had on business outcomes. Be ready to explain your thought process and the results you achieved.
✨Communicate Clearly
Since excellent English communication is a must, practice articulating your thoughts clearly and concisely. You might be asked to explain complex data concepts, so ensure you can break them down into simple terms that anyone can understand.
✨Demonstrate Business Acumen
Agoda values candidates with strong business acumen. Prepare to discuss how your data analysis has influenced business decisions in the past. Show that you understand the bigger picture and how data can drive strategy and growth.
