Data Analytics

About Booking.com

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Role Overview: Data Analytics

ABU Revenue Management Data powers one of Booking.com’s core growth engines: improving accommodation partner performance to drive platform revenue. We build and maintain the data foundations, metrics, and tools that enable Revenue Management and Local Partner Services (LPS) to identify pricing, supply, and sales opportunities—and act on them at scale for 1,500+ users worldwide.

Accommodations sits at the heart of Booking.com’s business. In a highly competitive global marketplace where pricing precision and supply availability are critical, the Revenue Management organization in Commercial Growth & Operations (CoGO) defines strategies to unlock incremental revenue for partners and the company. Our team translates these strategies into scalable data products—dashboards, metrics, and tooling that support commercial execution from global chains down to individual partners.

We operate in a complex stakeholder ecosystem spanning Pricing, Supply, Commercial Steering, Product, LPS Development, Change & Implementation, and upstream data producers. Our work bridges strategy and execution: shaping requirements, building and modernizing data assets, piloting new solutions (including AI-powered reporting), rolling out global tools, and iterating based on real user feedback across markets.

Associate Data Analysts support the business by delivering and maintaining reports and uncovering data insights to defined business problems. They are expected to collect, prepare and analyze data with limited guidance, and select effective visualizations to convey business insights through reports or dashboards when applicable. They collaborate with peers in their craft and support initiatives for data quality and stability.

Associate Data Analysts are able to prioritize scoped tasks and communicate results based on business needs in collaboration with their manager, team and stakeholders.

Key Responsibilities and Duties

• Responsible for the delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation under supervision.
• Responsible for working with limited guidance on consuming data and preparing it for analytical use, but asks for regular guidance to translate business problems into data stories (ie. analysis approaches).
• Responsible for supporting their team in achieving business objectives.
• Responsible for working with limited guidance to develop basic data visualizations, dashboards, and reports, while learning to communicate insights and recommendations to stakeholders effectively.
• Responsible for asking support of their peers / managers to communicate results and outcomes clearly to stakeholders.
• Responsible for following Data Analytics best practices.
• Responsible for growing their own craft skills while learning to leverage Data Analytics for impact.
• Responsible for collaborating with peers in the team.

Qualifications & Skills

• Driven and results-oriented personality
• Open to feedback and always looking for ways to improve performance
• Analytical and curious mindset
• Strong interpersonal skills including an open and friendly attitude
• Able to understand details while keeping an eye on the bigger picture
• Experience in data analysis, data management, and data visualization
• Proficiency in data analysis languages (e.g., R, SQL, Python) and visualization tools (e.g., Tableau, Data Studio, PowerBI, Mixpanel)

Benefits & Perks - Global Impact, Personal Relevance

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Inclusion at Booking.com

Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process

This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Key skills/competency

• Data analysis
• Data management
• Data visualization
• SQL
• Python
• R
• Tableau
• PowerBI
• Stakeholder communication
• Problem-solving