Audit Data Analytics – Insurance

Role Overview

• Lead the development and execution of data-driven strategies to enhance audit quality, efficiency, and insights
• Combine technical expertise in data analytics with a deep understanding of audit processes to deliver innovative solutions that support risk assessment, testing, and continuous monitoring
• Analyze large datasets to identify anomalies, trends, and potential control weaknesses
• Design and implement advanced analytics solutions to support project objectives
• Develop dashboards, visualizations, and automated tools for engagement teams
• Collaborate with examiners to integrate analytics into planning, fieldwork, and reporting
• Maintain clear documentation to support methodologies and processes
• Identify opportunities to improve examination coverage and efficiency through data-driven techniques
• Provide consultation and support services on process improvement, data governance, artificial intelligence, and data analysis
• Monitor project budget using client invoices and expense information with the ability to forecast budget shortfalls in advance
• Conduct client status meetings, review deliverables, receive client sign-off, escalate issues and communicate client opportunities

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Finance, Risk Management, Accounting, or related field
• 5+ years of insurance industry experience
• Strong understanding of ERP systems and data structures
• Knowledge of emerging technologies such as AI and machine learning in audit contexts
• Experience with IT security in areas such as: Windows, Unix, routers, switches, database environments, web security, firewall and IDS/IPS, RACF, ACF2, z/OS, wireless
• Understanding of basic data warehousing architecture, database concepts such as normalization and denormalization, and the difference between OLTP (On-Line Transaction Processing) and OLAP (On-Line Analytical Processing)
• Proficiency in SQL, Python, or R for data analysis
• Proven experience with audit analytics tools (e.g., ACL, IDEA) and data visualization platforms (e.g., Power BI, Tableau)
• Ability to conduct fact-finding research and utilize problem-solving techniques
• Ability to collect, evaluate, and analyze large data files to identify patterns and develop phases of regulatory recommendations
• Ability to organize data into logical format for presentations in regulatory reports, documents and other written materials
• Ability to present and communicate complex data issues and solutions to both internal and external clients
• Demonstrated problem-solving skills to write code
• Demonstrated history of project management experience
• Strong interpersonal, presentation, analytical and statistical sampling skills
• Skilled in team building and team development.

Tech Stack

• ERP
• Python
• SQL
• Tableau
• Unix

Benefits

• Competitive benefits and compensation package
• Flexibility in schedule to balance life's demands