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