Global Remuneration Expert
The successful candidate will play a pivotal part in shaping and enhancing our client's remuneration framework for overseas missions. The role requires strong expertise across HR, accounting, advanced Excel, and remuneration/economic analysis.
* Annual reviews of LES remuneration (salary and non-salary benefits) across global missions are crucial to ensure fairness and competitiveness.
* Economic modelling and market intelligence are key tools in determining salary adjustments, ensuring salaries remain aligned with industry standards.
* Maintenance and enhancement of our client's Excel-based remuneration analysis model is essential, incorporating PowerQuery rollovers, data connections, and formula validation.
* Audit defensibility of remuneration data inputs and methodologies must be ensured to maintain transparency and trust.
* Market remuneration data procurement and supplier dataset integration into centralised models are critical to inform decision-making.
* Survey processes coordination across missions ensures timely and accurate data returns, facilitating informed decision-making.
* Engagement with senior leaders and stakeholders contextualises salary decisions, ensuring alignment with business objectives.
We seek a highly skilled professional with a strong background in HR, accounting, and remuneration/economic data analysis. Advanced Excel capability, including PowerQuery, model maintenance, and scalability, is essential.
* Experience in remuneration reviews and salary adjustments, particularly in complex environments, is highly valued.
* Ability to document assumptions, methodologies, and ensure defensible audit trails is critical.
* Data procurement, integration, and survey coordination at scale are necessary skills for this role.
* Strong stakeholder management skills, with the ability to influence and advise senior leaders, are required.
Desirable skills include previous experience in government or large-scale international remuneration frameworks, exposure to actuarial modelling, economic analysis, or data-driven remuneration policy, and understanding of global HR practices.