Data Analyst

Data Analyst Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed. What the day will look like The role is focused on delivering data-driven insights for all consulting and flexible benefits projects. The Data Analyst will play a key role in: Transforming data into meaningful insights for Aon’s clients in the employee benefits sphere Supporting consulting project delivery for existing clients & prospects Data analysis, propose flex plan design, feasibility study and financial modelling 1. Data Analytics & Insights Analyse client data (e.g., medical claims, workforce demographics) to generate actionable insights Support development of analytics outputs, dashboards, and client reports Assist in identifying trends, cost drivers, and opportunities for optimization 2. Consulting Support Provide analytical and research support across client projects (e.g., benchmarking, benefits review, flexible benefits feasibility studies) Assist in developing proposals, presentations, and financial models 3. Market Research & Benchmarking Participate in benchmarking analysis against market practices and industry norms Monitor trends in employee benefits, insurance, and health & wellness solutions 4. Project Delivery & Execution Support execution of consulting engagements, ensuring quality and timeliness of deliverables Assist in coordinating project tasks, timelines, and stakeholder inputs 5. Stakeholder Collaboration Work closely with internal teams (consulting, broking, analytics, regional teams) to deliver integrated solutions Support client servicing teams with data and analytical requests Build strong internal working relationships across functions 6. Continuous Learning & Development Develop technical skills in data analytics, consulting methodologies, and employee benefits Maintain awareness of emerging tools, technologies, and industry developments Support compliance with internal policies and professional standards Skills and experience that will lead to success Bachelor’s degree in Actuarial Science, Statistics, Economics, Data Science, Finance, or related disciplines 0–2 years of relevant experience (internship or entry-level experience in consulting, analytics, or insurance is an advantage) Strong analytical and problem-solving skills Proficiency in Excel; familiarity with data tools (e.g., Power BI, Python, SQL) is an advantage Strong attention to detail and ability to work with large datasets 2026-102674