Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Business and Data Analyst

Aon Corporation; Singapore; On-site; SGD 45,000 - 60,000; Full time

Job summary

A global professional services firm in Singapore is seeking a Business and Data Analyst for its Aon Graduate Programme 2026. This two-year program includes four rotations across different business areas, focusing on data analytics and risk management. Ideal candidates are fresh graduates ready to commence full-time employment, skilled in SQL, Python, and data visualization tools. Strong analytical abilities and excellent communication skills are essential. This role offers exposure to Agile methodologies and collaborative teamwork.

Qualifications

• Fresh graduates who can commence full-time employment in July 2026.
• Ability to extract, transform, and analyze data using SQL and additional programming technologies.
• Skilled in engaging with stakeholders to document requirements.
• Proficient in data visualization tools for clear insights presentation.
• Strong analytical skills with attention to detail and problem-solving abilities.
• Awareness of AI concepts and willingness to learn more.
• Understanding of Agile methodologies and team collaboration.

Responsibilities

• Partner with diverse teams to support strategic decision-making.
• Deliver impactful analytics solutions across the organization.

Skills

SQL

Python

Data Visualization

Analytical Skills

Communication Skills

Education

Fresh graduate

Tools

Power BI

Tableau

MS Office Suite

Job description

Aon Graduate Programme 2026 – Innovation & Analytics, Business and 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 team and we are passionate about helping our colleagues and clients succeed.

In this two year programme, you will be exposed to all aspects of our business through four job rotations (6-month cycle) across different business areas, participate in Agile scrum-based projects and have the opportunity to work with key stakeholders across the Aon business, gaining knowledge and insight into our world of data and analytics. Graduates will be placed in various areas of the business and will have the opportunity to explore risk management and data analytics during the course of the programme.

Business and Data Analyst

What the day will look like: In this role, you will partner with diverse teams to bridge business needs and data-driven insights, supporting both strategic decision-making and the delivery of impactful analytics solutions across Aon’s organization.

Skills and experience that will lead to success

• Fresh graduates who are able to commence full-time employment in July 2026.
• Ability to extract, transform, and analyze data using SQL and at least one additional programming or data technology (such as Python or Pyspark), with a foundational understanding of databases and data structures.
• Skilled in engaging with business and technology stakeholders to gather and document requirements, define project or product goals, and ensure solutions meet business objectives.
• Proficient in using data visualization tools (such as Power BI or Tableau) to present insights clearly and effectively, following design best practices.
• Strong analytical and problem-solving abilities, with keen attention to detail and the capacity to turn ambiguity into specific, actionable tasks.
• Awareness of artificial intelligence and machine learning concepts, including exposure to Large Language Models (LLMs) and/or Generative AI, and a willingness to expand this knowledge.
• Understanding of Agile methodologies, like Scrum or Kanban, and collaborating in cross-functional teams.
• Excellent interpersonal and communication skills, including the ability to explain technical findings to non-technical audiences in a clear and engaging manner.
• Eager to learn and adapt, willing to pick up new skills to support analytics, business analysis, or product development as needed.
• Able to consider and discuss the ethical implications of data and technology decisions.
• Proficient in MS Office Suite, including Excel, PowerPoint, Word, and Visio.