Business Analytics Partner

Software Engineer 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. What the day will look like The successful candidate will join the Enterprise Analytics team based in Singapore, a dynamic and high‑energy team delivering data‑driven insights and digital products that support strategic decision‑making. The Software Engineer will collaborate with Software Engineers, Data Engineers, Quality Assurance Engineers and Business Analytics Partners to design, build and modernise internal applications, using cloud-native and AI‑enabled capabilities to improve product quality, delivery velocity and user experience. Technical Mastership Be responsible for planning, creating, enhancing, testing and deploying secure, scalable web applications, with a focus on maintainability and automation Design and maintain internal libraries, tools and CI/CD pipelines, including the use of AI‑assisted development and testing tools where appropriate Apply AI‑enabled approaches to improve developer productivity, code quality, testing, documentation or user workflows Ensure strong alignment between technical solutions and business goals through effective requirements grooming and solution design Develop a solid understanding of business logic, analytical products and underlying datasets Review existing manual and semi‑automated processes and design automation solutions, by adopting scripting, workflows, APIs and AI‑enabled components where appropriate Apply team quality, security and governance standards, including responsible use of AI technologies People Collaboration Provide support and mentorship to team members through effective communication and collaboration Take leadership in agile development processes, ceremonies and continuous improvement initiatives Partner closely with analytics and data colleagues to translate analytical outputs into intuitive, usable applications Knowledge Advancement Improve and create technical, architectural and onboarding documentation, using automation and AI assistance where appropriate Actively share knowledge and promote modern engineering practices across the team Keep informed about cloud, AI‑enabled engineering, application security and software delivery trends, assessing their practical applicability ACIA Advocacy Foster innovation and collaboration across the center by actively contribute to working groups and initiatives Champion and follow ACIA policies and guidelines Embrace the Aon Values that are foundation of the Aon Culture Skills and experience that will lead to success Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields Minimum of 6 years of experience in full‑stack application development and CI/CD pipelines (e.g., Azure DevOps) Strong proficiency in programming languages such as JavaScript and C#, and frameworks such as ReactJS/Angular and .NET Experience building and consuming APIs, working with data‑intensive applications and cloud platforms (preferably Azure) Practical experience using AI‑assisted development tools or integrating AI‑enabled features (e.g., automation, intelligent search, summarisation, natural‑language interfaces) Understanding of responsible AI, security and data privacy considerations in enterprise environments Strong verbal and written communication skills, with the ability to explain technical concepts to non‑technical colleagues Critical thinking mentality with a proactive, focused approach to modernising tools and processes Nice to have (optional): Exposure to Python or scripting for automation Experience with analytics platforms, data products or business intelligence tools Interest in improving developer experience, platform scalability and engineering efficiency #LI-HT1 2580364 Software Engineer 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. What the day will look like The successful candidate will join the Enterprise Analytics team based in Singapore, a dynamic and high‑energy team delivering data‑driven insights and digital products that support strategic decision‑making. The Software Engineer will collaborate with Software Engineers, Data Engineers, Quality Assurance Engineers and Business Analytics Partners to design, build and modernise internal applications, using cloud-native and AI‑enabled capabilities to improve product quality, delivery velocity and user experience. Technical Mastership Be responsible for planning, creating, enhancing, testing and deploying secure, scalable web applications, with a focus on maintainability and automation Design and maintain internal libraries, tools and CI/CD pipelines, including the use of AI‑assisted development and testing tools where appropriate Apply AI‑enabled approaches to improve developer productivity, code quality, testing, documentation or user workflows Ensure strong alignment between technical solutions and business goals through effective requirements grooming and solution design Develop a solid understanding of business logic, analytical products and underlying datasets Review existing manual and semi‑automated processes and design automation solutions, by adopting scripting, workflows, APIs and AI‑enabled components where appropriate Apply team quality, security and governance standards, including responsible use of AI technologies People Collaboration Provide support and mentorship to team members through effective communication and collaboration Take leadership in agile development processes, ceremonies and continuous improvement initiatives Partner closely with analytics and data colleagues to translate analytical outputs into intuitive, usable applications Knowledge Advancement Improve and create technical, architectural and onboarding documentation, using automation and AI assistance where appropriate Actively share knowledge and promote modern engineering practices across the team Keep informed about cloud, AI‑enabled engineering, application security and software delivery trends, assessing their practical applicability ACIA Advocacy Foster innovation and collaboration across the center by actively contribute to working groups and initiatives Champion and follow ACIA policies and guidelines Embrace the Aon Values that are foundation of the Aon Culture Skills and experience that will lead to success Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields Minimum of 6 years of experience in full‑stack application development and CI/CD pipelines (e.g., Azure DevOps) Strong proficiency in programming languages such as JavaScript and C#, and frameworks such as ReactJS/Angular and .NET Experience building and consuming APIs, working with data‑intensive applications and cloud platforms (preferably Azure) Practical experience using AI‑assisted development tools or integrating AI‑enabled features (e.g., automation, intelligent search, summarisation, natural‑language interfaces) Understanding of responsible AI, security and data privacy considerations in enterprise environments Strong verbal and written communication skills, with the ability to explain technical concepts to non‑technical colleagues Critical thinking mentality with a proactive, focused approach to modernising tools and processes Nice to have (optional): Exposure to Python or scripting for automation Experience with analytics platforms, data products or business intelligence tools Interest in improving developer experience, platform scalability and engineering efficiency #LI-HT1