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About the Role
Data Analysts at this level are end-to-end owners of how data is leveraged to solve complex business problems. You will consult with stakeholders, translate business needs into technical solutions, set success metrics, and shape the way forward through actionable data insights and clear communication. You will design, build, and maintain data pipelines and tables, focusing on payment cost analysis and financial data. You will lead data quality initiatives, document data lineage, and share best practices to drive continuous improvements in data infrastructure.
Responsibilities
- Proactively translates business requirements into technical specifications, collaborating with a broad range of stakeholders to deliver impactful data solutions.
- Leads data quality initiatives, including root cause analysis, data reconciliation, and systematic validation of key reports, metrics, and workflows.
- Communicates results and recommendations clearly to both technical and non-technical stakeholders, influencing business decisions at the team and department level.
- Drives adoption of new technologies and approaches, continuously improving data infrastructure for scalability, reproducibility, and long-term reliability.
- Actively participates in and leads analytics team activities (standups, planning, retrospectives), and contributes to the broader analytics community through knowledge sharing and recruitment.
- Maintains a deep understanding of the big data ecosystem, and proactively connects with peers across teams and crafts to ensure successful project outcomes.
- Develops significant expertise in the operational, tactical, and strategic workings of the department, with a focus on identifying and executing on business and technical opportunities.
Requirements
- 5+ years of experience in data analytics, insight generation, and data visualization, with a proven track record of delivering end-to-end big data analytics projects in an industry setting.
- Demonstrated ability to translate complex business requirements into scalable, production-ready solutions.
- Must have advanced expertise in SQL, PySpark, and Python, with experience designing and maintaining large-scale data pipelines and transformations.
- Strong familiarity with big data platforms, version control, and modern data engineering best practices.
- Experience with financial metrics and payments data is a strong plus.
- Strong communication and stakeholder management skills
- Able to understand details while keeping an eye on the bigger picture
- Knowledge and experience using data analysis and visualization tools (e.g: tableau, data studio, powerbi, mixpanel, etc)
- If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
Skills
- SQL
- PySpark
- Python
- Big data platforms
- Version control
- Data analysis
- Data visualization
- Tableau
- Data Studio
- Power BI
- Mixpanel
Experience Level
- 5+ years of experience
Education Level
- Master's degree preferred
- Quantitative field
Benefits
- The benefits and perks offered by the company can be found here.
About the Company
- 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 make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.
- With over 1.6 million room nights booked every day, accommodation represents the largest share of our business to date. Our mission is to deliver the best customer experience and the most varied selection of properties.
- At Booking.com we combine the best traits of a start-up with the resources of planet Earth’s #1 accommodation website. We are working towards creating the ultimate travel experience, building and improving great products for both travelers and the accommodation partners.
Equal Opportunity
- 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.