Head of Aon Mergers and Acquisition Analytics

AON GLOBAL OPERATIONS SE SINGAPORE BRANCH; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Aon Global Operations Singapore Branch is seeking an experienced BI and analytics leader to drive the risk analytics agenda and embed data-driven decision making across client delivery. You will lead a team of M&A data analysts, shape data strategies, and oversee cross-functional data initiatives to improve reporting and data usability.

The role focuses on accelerating analytics, strengthening the data landscape, and expanding capabilities globally with a strong emphasis on automation and data

Qualifications

• Proven leadership in BI, analytics and data teams.
• Experience in financial services or insurance preferred.
• Strong background in data analysis, visualization, data quality and warehousing.
• Knowledge of AI trends, data governance and quality practices.
• Expertise in relational databases and lake-house tech.
• Proficient in SQL, Python for data processing, and Power BI.
• Excellent communication; ability to simplify complex data.
• Experience in large, complex organizations with diverse stakeholders.
• Ability to drive best practices and tech adoption.
• Passion for automation and digitalizing data processes.

Responsibilities

• Analytics leadership to accelerate risk analytics agenda with Aon.
• Embed analytics into client delivery and decision making.
• Integrate analytics across the investment lifecycle for insights.
• Lead innovations and tool improvements across M&A analytics practice.
• Oversee internal data initiatives and improve user experience for tools.
• Deliver value to clients and insurers via enhanced reporting and data structures.
• Support business development through data-driven decisions.
• Lead a team of M&A data analysts.

Skills

Leadership in BI/analytics

Data analytics strategy

Financial services/insurance domain

AI and data governance

Data architecture

SQL

Python for data processing

Power BI

Data modeling

Stakeholder influence

Tools

SQL Server

Oracle

Databricks

Snowflake

Azure Blob Storage

AWS S3

Power BI

Job description

Responsibilities:

• Leveraging analytics and operational experience working with Aon's Mergers and Acquisitions and Transaction Solutions business to accelerate Aon's Risk Analytics agenda.
• Further embed analytics into Aon's value proposition and client delivery model, strengthening our ability to help clients make more informed, data‑driven decisions.
• Embed analytics capabilities across the full investment lifecycle – from pre‑acquisition diligence through portfolio management and exit – to consistently deliver differentiated insight and measurable outcomes for clients.
• Lead Innovation and Tool Improvements across Aon's M&A practice in EMEA/UK and expand existing capabilities globally. Further develop strategy to improve the data landscape, and identify, analyse, and support and lead improvements on high priority data systems.
• This includes being the global lead on key internal data initiatives driving the implementation of new compliance and project management tools with enhanced user experience and greater BI/MI insight for all stakeholders
• In addition, being innovative in delivering greater value for clients and insurers through enhanced reporting experiences and creating more consistent data structures to support this.
• Support key business development by enabling data driven decisions
• Being the business lead for a team of M&A dedicated data analysts

Requirements:

• At least 10 years in a leadership role within BI, analytics, and/or data analytics.
• Proven experience working within financial services or insurance is preferred.
• Background in data-related fields such as data analysis and visualization, data quality, data warehousing, data engineering, and financial reporting.
• Strong affinity with trends in AI & Data, including data governance and quality.
• Expertise with relational databases, warehousing, and lake-house technologies (e.g., SQL Server, Oracle, Databricks, Snowflake, Azure Blob Storage, AWS S3).
• Experience in logical and physical data model design and broader data architecture design.
• Development experience in SQL, Python for data processing, and PowerBI.
• Exceptional communication skills with the ability to simplify complex information effectively.
• Experience working in large, complex environments with a diverse range of stakeholders across multiple business units.
• Ability to influence colleagues and related data areas toward best practices and technology adoption.
• Passion for pushing automation and digitalization in data processes.
• Adept at creating documentation and data dictionaries for internal and external users.