Business Data Analyst (Bangkok Based, relocation provided)

Bangkok

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 more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities 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.

Get to Know our Team:  

The Flights 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 -  Flight 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:  

  • You'll be heavily involved in growing our Flights business
  • Experiment with various pricing strategies on Agoda and Metasearch to grow the business
  • Analyze massive amounts of data generated in experiments, build dashboards, and develop predictive models
  • Work with diverse stakeholders to arrive at investment plans for markets and channels

What you’ll Need to Succeed:  

  • Bachelor’s Degree or higher from 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

It’s Great if you Have:  

  • Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL
  • Experience in digital marketing

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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.

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

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Tags: Business Intelligence Computer Science Data analysis Data Analytics Data Mining Data visualization Engineering Excel Mathematics Privacy Python R SAS SPSS SQL Statistics Tableau

Region: Asia/Pacific
Country: Thailand
Job stats:  6  5  0
Category: Analyst Jobs

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