Data Analyst

• Data Analysts at this level are end-to-end owners of how data is leveraged to solve complex business problems within and beyond their immediate area.
• You will autonomously consult with a broad range of stakeholders—translating ambiguous business needs into technical solutions, setting success metrics, and shaping the way forward through actionable data insights and clear communication
• In this role, you will design, build, and maintain robust data pipelines and tables, ensuring alignment with established data models and best practices.
• You will drive the translation of business requirements into scalable, production-ready code, with a particular focus on payment cost analysis and financial data.
• You will lead data quality initiatives, proactively refine and validate tables, and collaborate with both senior and junior analysts to deliver reliable, long-term data solutions.
• You will also be responsible for documenting data lineage and technical processes, and for sharing knowledge and best practices across the team and wider analytics community.
• Your technical and analytical expertise will directly drive continuous improvements in our data infrastructure, ensuring high standards of data quality, scalability, and reliability
• The successful candidate will be a key member of the Global Accounting department and Payments Accounting Data Analytics Team. As a member of this team the individual will be responsible for generating data driven analysis, reporting, running root cause analysis and data reconciliations to support business stakeholders
• 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

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options- Knowledge and experience using data analysis and visualization tools (e.g: tableau,
• Able to understand details while keeping an eye on the bigger picture
• This role is NOT eligible for relocation assistance
• Experience with financial metrics and payments data is a strong plus
• Demonstrated ability to translate complex business requirements into scalable, production-ready solutions
• Strong communication and stakeholder management skills
• Data studio, powerbi, mixpanel, etc)
• Must have advanced expertise in SQL, PySpark, and Python, with experience designing and maintaining large-scale data pipelines and transformations
• Educational background in Quantitative field - Preferably a Master’s degree
• 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
• Strong familiarity with big data platforms, version control, and modern data engineering best practices