We are looking for an experienced audit and analytics specialist to strengthen internal audit capabilities in Michigan. This position combines advanced data analysis, investigative work, and risk-based auditing to help uncover meaningful insights, improve controls, and support sound business decisions. The role works closely with cross-functional stakeholders to translate complex information into practical recommendations and elevate the use of technology across audit activities.
Responsibilities:
• Shape and help lead the internal audit analytics approach in support of the yearly audit program and broader risk priorities.
• Build and perform advanced analytic reviews, continuous monitoring routines, and targeted testing to detect unusual patterns, control weaknesses, and developing risks.
• Work alongside audit teams to embed data-driven procedures into scoping, testing, reporting, and remediation follow-up activities.
• Communicate trends, exceptions, and risk insights to leadership in a clear manner that supports timely decision-making.
• Expand the use of automation, artificial intelligence, machine learning, and related tools to improve the efficiency and impact of audit work.
• Partner with IT, Finance, and operational teams to interpret large and complex datasets from enterprise applications and business platforms.
• Lead or assist with investigations involving suspected fraud, financial misconduct, policy breaches, conflicts of interest, and misuse of assets.
• Develop investigation plans, evaluate evidence, conduct interviews, and prepare thorough documentation of findings and conclusions.
• Perform audits across financial, operational, and compliance areas, assess control effectiveness, and deliver practical recommendations for improvement.
• Travel as needed for audit and investigation work, including occasional international assignments of up to 20%.• At least 7 years of experience in internal audit, audit analytics, fraud examination, risk management, or a closely related field.
• Bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, Computer Science, or a similar discipline.
• A certification such as CISA, CPA, or another relevant credential is preferred.
• Demonstrated experience applying analytics within audit, compliance, or risk-focused environments.
• Solid knowledge of audit frameworks, internal control concepts, risk assessment practices, and areas such as ITGC or Sarbanes-Oxley testing.
• Hands-on proficiency with tools such as Python, Power BI, Tableau, Alteryx, HighBond, or comparable analytics and audit technologies.
• Ability to work with large datasets and turn technical findings into clear communication for both business and technical audiences.
• Strong analytical judgment, initiative, and a continuous improvement mindset.