Advisory Analytics Manager
Pubblicato il 04-10-2026 - Aon in Latina
Advisory Analytics Manager – EMEA Aon exists to build decisions for the better — safeguarding and enriching the lives of people around the world. Our colleagues provide our clients in over 120 countries with advice and solutions that give them the clearness and confidence to make better decisions to protect and grow their business.
Our Analytics Team helps organisations make better workforce decisions by applying quantitative methods, statistical analysis, and sophisticated people analytics across human capital, compensation, and talent topics. Part of our work is supporting clients on compensation fairness, clearness in remuneration, and reward equity. We also help HR professionals and business leaders understand broader workforce dynamics and link talent outcomes to business performance.
Our division is a fast-growing area of advisory work: we combine Aon’s proprietary datasets with client data to answer strategic questions using meticulous analytical techniques, including pay equity modelling, segmentation, benchmarking, predictive modelling, driver analysis,
and workforce diagnostics related to reward, talent acquisition, deployment, retention, workforce planning, and business performance.
Core Responsibilities
- Interrogate large, sophisticated, and often imperfect client and proprietary datasets to identify workforce, reward, and talent patterns, including potential pay equity issues, data anomalies, and opportunities for evidence-based insight.
- Lead or run elaborate analytics engagements from problem definition and data specification through data preparation, methodology selection, model development, validation, and interpretation of results across topics such as pay equity, pay transparency, workforce planning, reward analytics, and predictive people analytics.
- Synthesise sophisticated quantitative outputs into clear narratives, translating statistical findings, pay equity diagnostics, model results, and benchmark comparisons into practical implications