Senior Auditor - Data Analytics
Description:
- Design, develop, implement, and maintain analytics routines supporting audits, continuous auditing, risk assessments, and reporting.
- Partner with audit teams to identify analytics opportunities across planning, fieldwork, reporting, and monitoring.
- Build relationships with data owners and stakeholders to improve data access, quality, and business-process understanding.
- Develop scalable solutions that identify risks, control weaknesses, operational trends, anomalies, and outliers.
- Create automated testing routines and continuous-auditing capabilities to expand coverage and improve efficiency.
- Develop dashboards, visualizations, and monitoring tools to communicate audit results and risk indicators.
- Enhance Internal Audit’s data strategy, analytics methodology, automation framework, and reporting.
- Produce recurring and ad hoc reports supporting audit effectiveness, analytics initiatives, Board, and Audit Committee reporting.
- Represent Internal Audit in cross-functional initiatives, technology implementations, and special projects.
- Monitor emerging analytics, automation, and audit technologies and recommend adoption opportunities.
Requirements:
- 4+ years of experience in Internal Audit, Risk Management, Data Analytics, Data Science, or a related field, including audit, risk, or compliance support.
- Hands-on experience with SQL, Python, Alteryx, R, Excel, or similar analytics and programming tools.
- Experience developing data-driven audit testing, automation, and reporting solutions.
- Experience with Tableau, Power BI, or similar data visualization and business intelligence platforms.
- Working knowledge of internal or external auditing standards, risk management frameworks, and control environments.
- Understanding of analytics applications in financial services, audit, risk management, or compliance.
- Ability to independently analyze large datasets, identify insights, and communicate findings effectively.
- Experience applying analytics to audit planning, risk assessments, continuous auditing, and audit execution.
- Bachelor’s degree in a relevant field such as Data Science, Computer Science, Accounting, Finance, Mathematics, Statistics, or Business (preferred).
- Professional certifications such as CIA, CISA, CPA, CRMA, CAMS, or analytics certifications; DBT, Git/GitHub, machine learning, predictive modeling, or AI-enabled audit experience (preferred).
Benefits:
- Comprehensive and competitive benefits package.
- Base pay determined by experience, skills, and location.
- Reasonable accommodations for candidates with disabilities.
- Inclusive workplace with equal employment opportunities.
