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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsSQLPythonRaudit analytics toolsdata visualizationdata governancedata warehousing architectureIT securitymachine learning

Soft Skills

problem-solvingcommunicationpresentationinterpersonalanalyticalteam buildingproject managementfact-finding researchorganizationalconsultation