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 Senior BI Developer, you will be working alongside Data Architects, marketing product owners, and business stakeholders to enable the Marketing department of Agoda with actionable data intelligence and scalable BI solutions to drive better decision making. You will be integral in the design, development, and implementation of reliable, performant, and scalable data intelligence solutions to improve our data warehouse architecture, business intelligence reporting, data automation solutions, and data product developments specifically for marketing analytics and campaign performance. 

What You'll Do:  

• Design and develop robust data mart solutions, ETL processes, and data pipelines to support marketing analytics, campaign tracking, customer segmentation, and performance measurement 

• Build and maintain scalable BI dashboards and reporting solutions using tools like Tableau, Metabase, and Superset to enable marketing teams with real-time insights on campaign performance, customer acquisition, channel effectiveness, and ROI metrics 

• Understand marketing business requirements, analyze large datasets for patterns and trends, and visualize results in comprehensive dashboards and presentations to support strategic marketing decisions 

• Support Marketing Product Owners and campaign managers across all experimentation stages to assist in campaign ideation, implement A/B testing monitoring, and define statistical success criteria for marketing initiatives 

• Drive self-service business intelligence by empowering marketing users to adopt existing BI tools by improving the data landscape, creating reusable data models, and educating users on best practices 

• Become a data business partner for Marketing and Product stakeholders by guiding them through all data-related topics, providing technical expertise, and translating business needs into technical solutions 

• Design and build Data Products to automate manual marketing processes, embed data metrics into marketing applications, and improve user experience with real-time analytics for campaign management 

• Develop and optimize SQL queries, data models, and database structures to ensure efficient data retrieval and reporting performance for marketing analytics 

• Collaborate with cross-functional teams including Data Engineering, Data Science, and Marketing Operations to ensure data quality, consistency, and alignment with business objectives 

Required Qualifications:  

• At least 5 years of experience in Business Intelligence Development, Data Engineering, or related technical roles with focus on building BI solutions 

• Strong education background with degrees in Computer Science, IT, Management Information Systems, Data Science, Mathematics and Statistics, or equivalent hands-on experience 

• Strong knowledge and hands-on experience with BI development tools such as Tableau, or Superset, including dashboard design, data modeling, and performance optimization 

• Advanced working SQL knowledge and experience working with relational databases, complex query authoring (SQL), data warehousing concepts, and working familiarity with non-relational databases 

• Strong programming skills in languages such as ETL development, and automation 

• Experience in designing and developing ETL/ELT processes, data pipelines, and data integration solutions 

• Strong analytical and problem-solving abilities, along with the capability to collaborate effectively within a team 

• 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 

• Proficient English communication skills for expressing ideas clearly and working well with colleagues in a professional environment 

Preferred Qualifications:  

• Experience in marketing analytics, campaign performance measurement, customer segmentation, or digital marketing data 

• Knowledge of A/B testing, experimentation frameworks, and statistics for marketing campaigns 

• Experience using AI tools or platforms, which could help with automating tasks or analyzing marketing data 

• Familiarity with marketing technology stack and data sources (CRM, advertising platforms, web analytics, etc.) 

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

• Knowledge of big data tools, such as Spark, Kafka, etc., for processing large-scale marketing data 

• Experience with cloud data platforms (AWS, GCP, Azure) and modern data stack technologies 

• 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.