Lead Data Analyst - Internal Audit

AAA-The Auto Club Group

1d•$90,000 - $115,000•Hybrid

About The Position

It’s a great time to join AAA The Auto Club Group! JOIN THE TEAM COMMITTED TO DRIVING YOUR CAREER FORWARD Job Type: Full time Exempt/Non Exempt: Salary Job Description: Lead Data Analyst – Internal Audit – The Auto Club Group What you will do: Working within an Internal Audit department, obtains and analyzes large, diverse data sets to drive better business decisions and to identify business problems, in the context of financial, regulatory, reputational, and operational risk. Mines data, performs quantitative analysis and creates clear and actionable narratives about the business. Conducts research and special studies as requested. Performs business intelligence analysis and provides meaningful reporting to operations and the Internal Audit leadership team. Produces meaningful analytic reports on corporate business policies, processes, and performance with a focus on risk and control. Offers recommendations for new data analytic techniques and methodologies. Provide guidance to and mentors junior team members, including review of work product for quality and relevance, executing data analysis in audit projects, and achievement of business objectives.

Requirements

Bachelor's degree in Mathematics, Computer Science, Statistics, or related quantitative field
3+ years in an analytics or business intelligence setting, including experience using one or more of the following analytic tools: SAS, SQL, R, Python, SPSS
Extensive experience in: Extracting and manipulating large data sets in Oracle databases and mainframe sequential files for analysis, including integration of diverse data sources
Interpreting and understanding business strategies and goals to find emerging issues and root-causes for anomalies
Complex data analysis
Requirements gathering and documentation
Troubleshooting data issues; data reconciliation with consistent attention to detail
Designing and delivering reports, visualizations, or presentations that are understandable for both technical and non-technical audiences, and explain the importance and relevance of results to business requirements
Translating high level business goals into the tasks and technical specifications needed to perform meaningful data analysis
Developing positive relationships with IT and corporate business intelligence departments and personnel
Working with PC software applications (e.g., Word, Excel, Visio)
Extensive knowledge and skills: Mathematical/statistical, reasoning, and logic skills; Understanding of statistical concepts (e.g. hypothesis testing, regression analysis)
Data design principles
Understanding of database structures, theories, principles, and practices
Solid understanding of data capture, data mapping, and data cleansing
Applying analytic skills to solve problems creatively; Ability to investigate and determine root causes of issues; Strong analytical problem solving, requirements facilitation, and collaboration skills; Consistently looks for better ways to achieve business results; recognizes problems as opportunities for process improvement
Self-motivated, flexible, organized, and able to perform with minimal supervision; Pro-actively make recommendations as issues and opportunities arise
Demonstrated ability to communicate, verbally and in writing, complex information to others in an understandable way

Nice To Haves

Master’s degree in Mathematics, Computer Science, Statistics, or related quantitative field
5+ years of experience in an analytics or business intelligence setting, including experience using one or more of the following analytic tools: SAD, SQL, R, Python, SPSS
Working with Internal Audit or on an audit data analytics team
Dashboard design and development; building intuitive interfaces, infographics, and visualization to tell stories with data
Ability to complete advanced statistical analysis
Proactively monitoring daily processes, performance strategies,and results to ensure consistent coverage over business strategies and goals
Familiarity with agile development methodologies
Experience with SQL, Workday, Adaptive, and SQL Server
Process automation and AI-assisted workflow optimization
Insurance industry background

Responsibilities

Lead the development and execution of data analytics strategies, including AI and Generative AI models, to enhance audit planning, risk assessment, and testing.
Design, implement, and maintain dashboards, automated reports, and visualization tools to provide actionable insights to audit teams and management.
Develop and deploy continuous monitoring and continuous auditing programs leveraging advanced analytics, machine learning, and AI/Gen AI tools.
Identify high-risk transactions, anomalies, and trends using AI-driven analytics and predictive modeling.
Evaluate and implement emerging technologies, including Generative AI, NLP models, process mining, and RPA, for audit efficiency and insight generation.
Identify opportunities to automate repetitive audit tasks using AI, Gen AI, and scripting.
Drive adoption of advanced analytics, machine learning, and AI-based insights to improve audit coverage and efficiency.
Standardize data extraction, cleansing and analysis processes, including AI model governance and reproducibility