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Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Senior Compensation Analyst - Excellence

Geplaatst 31 mrt. 2026
Delen:
Werkervaring
3 tot 8 jaar
Full-time / part-time
Full-time
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)
Deadline
9 april 2026

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Role Description

About Booking.com: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. Through our products, partners and people, we make it easier for everyone to experience the world.

We are looking for a Senior Compensation Analyst to join our Global Total Rewards team. You will work on optimizing some of the core compensation processes. Using strong analytical skills and deep compensation expertise, you will translate complex data into clear insights, tools and frameworks. This role is for someone who enjoys combining data, systems and process excellence to build fair, competitive and compliant reward practices.

Key Job Responsibilities and Duties:

  • Oversee the Compensation Excellence work for recurring cyclic processes and other key reward events, including systems set-up, budgets, guardrails, and guidance
  • Support the set-up and maintenance of Compensation tooling to enable self-service and improve user experience
  • Overlook compensation benchmarking process
  • Model, forecast and track staff costs; this includes running complex scenario analyses for annual budget cycle
  • Provide clear, data-driven insights on market trends, risks, and opportunities to inform program design and leadership decision-making
  • Contribute to the global pay transparency and pay equity agenda, including methodology, reporting, and monitoring
  • Support the design and documentation of Compensation policies and controls, ensuring alignment with regulatory requirements, SOX, and internal audit standards
  • Partner with Internal Audit, People Ops, and Legal on compensation-related risk, remediation, and audit requests as needed
  • Build and maintain robust Compensation data structures that support Job Architecture, and downstream employee-facing tools
  • Deliver regular and ad-hoc reporting
  • Continuously improve reporting and automation in collaboration with People Analytics, FP&A, and Systems teams
  • Run scenario modeling and cost impact analyses for program changes highlighting trade-offs and risks
  • Contribute to cross-functional projects and operating model changes

Qualifications & Skills:

  • Experience in Compensation/Total Rewards or a closely related analytical HR field
  • Strong analytical skills
  • Comfortable working with external market data methodologies
  • Ability to explain complex reward topics in a simple and structured way
  • Strong stakeholder management skills; able to challenge and influence decision makers
  • High attention to detail, strong sense of confidentiality and integrity
  • Comfortable working in an international, fast-changing environment

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

Welcome to the world of Booking.com Compass. This is the space and community we have created at Booking.com for all of you who have just started navigating your first career journey.
If you join our unique 15-month Graduate Software Engineering Program or Data Science & Analytics Graduate Program in our Amsterdam office, you’ll be offered a permanent role with a clear pathway to step into the next career level.

ICT
Amsterdam
Actief in 70 landen
12.000 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 32 jaar oud