Executive Compensation Analyst

Company: Willis Towers Watson
Apply for the Executive Compensation Analyst
Location: London
Job Description:

Overview

As an Analyst in ECBA, you will contribute to cross-industry client work using market data, digital tools, and GenAI. You will participate in a 9-month FAST START training programme to develop consulting, practical, and technical skills. You’ll turn data into actionable insights and draft reports with impactful visualisations, while building relationships with high-profile clients. You’ll assist in Directors’ Remuneration Report drafts and broaden your understanding of digital platforms reshaping the industry. This is a global, data-led environment where your curiosity and quality focus help drive governance and compensation decisions at scale.

Pay / Benefits

  • 25 days annual leave + an extra WTW day
  • private healthcare
  • life insurance
  • group income protection
  • defined contribution pension with up to 10% company match
  • hybrid working

Responsibilities

  • Contribute to cross-industry client assignments using data, digital tools, and GenAI
  • Participate in the 9-month FAST START training programme to build skills
  • Turn data into insights and create data-driven reports and exhibits with storytelling
  • Draft components of Directors’ Remuneration Report for client Annual Reports
  • Develop understanding of client solutions and AI applications reshaping the industry
  • Support clients with benchmarking and governance-related decision-making
  • Engage in financial analysis to align pay with company performance and stakeholder experience
  • Deliver data-led analyses to inform remuneration design and governance trends

Key requirements

  • A strong quantitative background with evident analytical skills
  • Comfort with data analysis to draw meaningful conclusions
  • Confident communicator with relationship-building and collaboration abilities
  • Familiar, at a basic level, with using GenAI platforms to boost productivity
  • Active listener capable of understanding client needs
  • Curious and eager to learn new skills in a changing client landscape
  • Commitment to quality and high standards
  • analytical mindset
  • effective communication
  • collaboration
  • data analysis
  • data visualization
  • GenAI platforms (basic familiarity)

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Posted: October 16th, 2026