Senior Analytics Engineer (Bangkok Based, Relocation Provided)

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Get to Know Our Team 
​The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity 

As an Senior Analytics Engineer, you will collaborate closely with product managers, business users, data scientist and engineering to understand business requirements, analyze data and provide data solutions. Good stakeholder management and the ability to communicate clearly will be key success factors. The candidate will gain a deeper understanding of data pipelines and other data-related system of our B2B2C products. Development and ownership of the end-to-end process is expected.

In This Role, You’ll Get to 

• Analyze and understand B2B2C product data, and all related data flows and structures.
• Understand business requirements, analyze large data sets for patterns, visualize results in dashboards and
  presentations, develop data mart solutions, improve efficiency by automating business processes and
  become subject matter expert for B2B2C product data.
• Oversee end-to-end ownership of data projects and independently collaborate with engineering, product and
  business stakeholders in an agile environment to solve business problems.
• Design and implement data pipelines and data warehouse architecture; centralize, automate and scale data 
  creation, processing, and storage; optimize data warehouse performance and reliability.
• Explore and experiment in application development, to challenge existing development processes and drive 
  data automation and usage.
• Ensure data quality and consistency; provide clean data models, that are scalable and useful for different 
  stakeholders.
• Use business intelligence, data science, and visualization tools to build data products.
• Develop, maintain, standardize and improve data documentation.

What You’ll Need to Succeed 

• Bachelor’s or advanced degree in Engineering or Information Systems, or other related fields. Internal
• At least 5 years of experience as an Analytics Engineer or Data Engineer, or experience in the Data Analysis area.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly to stakeholders.
• Must have Hadoop experience at least 3 years.
• Experience in ETL tools, data warehouse design, data modeling, and visualization. 
• Strong SQL command and the ability to write complex queries on big data sets.
• Strong programming skills (e.g., Python, Java)
• Quick learner, analytical problem-solving aptitude, effective prioritization, proactive, “can do” mentality and strong attention to detail.
• High sense of ownership and growth mindset.
• A self-motivated, ability to work well independently and as part of a team.

It’s Great If You Have  

• Intellectually curious, fast and self-driven learner on areas including new business models, analytical techniques, technical skills etc.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica).
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
• Experience with object-oriented/functional script languages, such as Python, Scala, C++ etc.

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