Head of Aon Mergers and Acquisition Analytics

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. #J-18808-Ljbffr