Audit Data Analytics – Insurance
Job Description: • 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. Benefits: • Competitive benefits and compensation package • Flexibility in schedule to balance life's demands