Data Analytics Lead, Payments & Data Infrastructure

Booking.com; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Booking.com is seeking a senior Data Analyst to own end-to-end data delivery, translating business needs into scalable data pipelines and insights. You will work across the Global Accounting and Payments Analytics teams, ensuring data quality and producing reliable financial analytics to guide decision-making.

The role emphasizes building robust data infrastructure, collaborating with both senior and junior analysts, and driving continuous improvements in data models and reports.

Qualifications

• Bachelor’s or Master’s in a quantitative field.
• 5+ years in data analytics, insight generation, data visualization.
• Experience delivering end-to-end big data analytics projects.
• Advanced SQL, PySpark, Python for large-scale pipelines.
• Experience with financial metrics and payments data is a plus.

Responsibilities

• Translate business requirements into technical specifications for data solutions.
• Lead data quality initiatives, including root-cause analysis and data reconciliations.
• Communicate results to technical and non-technical stakeholders.
• Drive adoption of new data technologies for scalability and reliability.
• Collaborate with analysts to deliver robust, long-term data solutions.
• Document data lineage and processes; share knowledge across teams.
• Develop expertise in operational, tactical, and strategic aspects of the department.

Skills

SQL

PySpark

Python

Data viz

Stakeholder mgmt

Big data

Education

Master's degree in quantitative field

Tools

Tableau

Power BI

Data Studio

Mixpanel

Job description

Booking.com is seeking a senior Data Analyst to own end-to-end data delivery, translating business needs into scalable data pipelines and insights. You will work across the Global Accounting and Payments Analytics teams, ensuring data quality and producing reliable financial analytics to guide decision-making.

The role emphasizes building robust data infrastructure, collaborating with both senior and junior analysts, and driving continuous improvements in data models and reports.