• 5-7 years' experience in Reward, Compensation Analytics, HR Analytics or Financial Analysis.

• Hands-on experience supporting annual salary review and bonus cycles.

• Advanced Excel skills, including lookups, pivot tables, scenario modelling and handling large datasets.

• Experience working with salary survey data and job matching.

• Strong numerical accuracy and attention to detail.

• Ability to present data clearly to non-technical stakeholders.

• Bachelor's degree in Business, Finance, Economics, HR, Mathematics or a related field. Preferred Experience

• Experience working in a global environment preferably with exposure to the Middle East.

• Experience with Mercer, WTW or Korn Ferry survey data and tools.

• Exposure to multi-entity or multi-country reward data (e.g. UK, Australia, Europe).

• Experience with Power BI, Tableau or similar data visualisation tools.

• Experience working with HRIS compensation modules.

Using GenAI in Your Application Process

• To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.