Senior / Staff Data Engineer (BI) – CEG Team

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, 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 over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

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

In this role as Business Intelligence Analyst, you will be working alongside of Data Architects and business stakeholders to enable the Supply department of Agoda with actionable data to drive better decision making. You will be integral in the design and implementation of reliable, performant, and scale-able data intelligence solution to overall improve our data warehouse architecture, business intelligence reporting, data automation solutions and data product developments.

In This Role, You’ll Get to

• 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 Supply department

• Support Product Owners across all experimentation stages to assist in the ideation of new product ideas, implement A/B monitoring and define statistical success criteria

• Drive self-service business intelligence by empowering users to adopt existing BI tools (Tableau, Metabase, Superset, ThoughtSpot) by improving the data landscape and educating users

• Become a data business partner for Business and Product stakeholders by guiding them through all data related topics

• Design and build Data Products to automate manual business processes or embed data metrics into business applications to improve user experience and real-time analytics

What You’ll Need to Succeed

• At least 5 years of experience in Business Intelligence or Analyst related roles

• Strong education background with degrees in Business Administration, Engineering or Information Systems (preferred)

• Strong knowledge of BI client tools such as Tableau and Power BI or other platforms

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with non-relational databases

• Good working knowledge of statistical computer languages to perform advanced analytics (Python, R)

• A self-motivated, driven, flexible, quick learning, high achieving, “can do” mentality

• A drive to learn and master new technologies and techniques

• An ability to work well independently and as part of a team

It’s Great If You Have

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks

• Knowledge of front-end languages and frameworks (e.g. JS, React)

• Knowledge of big data tools, such as Spark, Kafka, etc.

• Knowledge of A/B testing and experimentation frameworks

• Experience with large scale data platforms (GCP, S3, Hadoop, etc.) and modern data warehouse technologies (e.g. Redshift, Snowflake, etc.)

• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies (e.g. GIT)

Discover more about working at Agoda

• Agoda Careers https://careersatagoda.com

• Facebook https://www.facebook.com/agodacareers/

• LinkedIn https://www.linkedin.com/company/agoda

• YouTube https://www.youtube.com/agodalife

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.