With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Reward Data and Analysis
1. Maintain accurate and up-to-date reward data across internal systems and data sources.
2. Gather, clean, and analyze large datasets to support reward and pay decisions.
3. Produce regular reports and dashboards on pay, benefits, and workforce trends.
4. Support data modelling for salary reviews, bonus calculations, and pay progression.
5. Provide data insights and recommendations to support fair and consistent reward practices.
Market Benchmarking
6. Own the external market benchmarking exercises and manage participation in appropriate survey data (e.g. Willis Towers Watson, Radford McLagan,) for Arch locations outside North America.
7. Maintain market awareness and recommend additional surveys and/or new sources as appropriate
8. Help maintain internal pay structures, job levelling, and grading frameworks. Support HR requests for market benchmarking
9. Track market trends and support analysis on competitiveness of pay and benefits.
Benefits and Recognition DOWNPLAY
10. Support benefits analysis and data collection as appropriate including survey participation and analysis of employee elections and participation
Reporting and Governance
11. Support production of accurate, timely management information for senior stakeholders.
12. Help prepare statutory reports such as gender pay gap and other pay transparency requirements.
13. Maintain documentation and ensure data accuracy and compliance with GDPR and internal standards.
Skills and Experience
14. 1–3 years’ experience in an analytical or reward-related role (e.g. data analyst, compensation or benefits analyst).
15. Strong Excel skills (pivot tables, VLOOKUP, formulas, charts); experience with Power BI or other data visualization tools a plus. VBA or Python a plus
16. Confident working with large, complex datasets.
17. Excellent attention to detail, data accuracy, and organization.
18. Strong numerical and problem-solving skills with a clear, logical approach.
19. Effective communication skills — able to explain insights clearly to non-technical audiences.
20. Interest in building a career within Compensation, and Benefits Analytics.
Qualifications
21. Degree in Data Analytics, Business, Economics, Finance, Math, or a related discipline (or equivalent experience).
22. Formal training in data analytics, Power BI, or advanced Excel an advantage.
14101 Arch Europe Insurance Services Ltd