Audit Services Data Analyst Senior

• Supports the Audit Services audit portfolio by leading and executing data analytics across all phases of the audit lifecycle, including pre-planning, planning, fieldwork, reporting, and follow-up, supporting audits within a large, integrated healthcare system.
• Applies advanced audit and analytics expertise to design risk-based analytic procedures, including full-population testing, targeted sampling, continuous auditing, and risk-triggered analytics, across clinical, operational, revenue cycle, compliance, and fraud-related audit areas.
• Partners with audit teams to integrate analytics into audit planning, testing strategies, issue identification, validation, and reporting, with consideration for healthcare-specific risks, data structures, and regulatory requirements.
• Develops, reviews, and interprets analytic results, translating complex data insights into clear, actionable conclusions for audit teams and leadership supporting healthcare-focused audit engagements.
• Creates and maintains dashboards, reports, and visualizations to support audit reporting, portfolio oversight, and leadership decision-making, including reporting related to healthcare operations and clinical environments.
• Provides day-to-day guidance, coaching, and oversight to auditors, senior auditors, and data analysts; supports development of analytic and audit skills across the team, including the use of healthcare and Epic-sourced data.
• Leads or supports complex audits and analytics-heavy engagements requiring advanced judgment, coordination, and technical expertise, particularly those involving healthcare operations, clinical systems, or enterprise platforms such as Epic (e.g., Clarity, Caboodle).
• Partners closely with the Manager and Director of Audit Data Analytics to develop a strategic blueprint for leveraging artificial intelligence (AI) across the audit lifecycle within the healthcare audit context.
• Evaluates, pilots, and helps design AI-enabled solutions for Audit Services, including the development of controlled AI agents and automation to improve audit efficiency, coverage, and insight while ensuring appropriate use within healthcare and clinical data environments.
• Assists with auditing AI solutions deployed across the enterprise, including assessing risks related to governance, data integrity, model design, controls, ethics, and regulatory compliance, with attention to healthcare-specific regulatory and privacy considerations.
• Stays abreast of emerging AI technologies and industry practices and advises audit leadership on their practical application within Audit Services and the broader healthcare industry.
• Ensures analytic, AI-enabled, and audit work is properly documented in accordance with Audit Services standards, quality expectations, and retention requirements, including those applicable to healthcare audits.
• Collaborates with data owners, IT partners, and business stakeholders to define data requirements, resolve data issues, and ensure appropriate use of enterprise data assets, including coordination with teams supporting Epic and other healthcare systems.
• Contributes to audit analytics standards, methodology enhancements, and continuous improvement initiatives across Audit Services supporting the Advocate Health audit portfolio.

• Bachelor’s degree in Accounting, Business, Finance, Information Systems, Computer Science, Data Analytics, Data Science, or a related field.
• Advanced or specialized coursework in analytics, technology, or artificial intelligence preferred.

Certification / Registration / License Preferred:

• Audit or accounting certifications (e.g., CPA, CIA, CISA, CFE)
• Data analytics or data science certifications
• Artificial intelligence, machine learning, or automation-related certifications
• Healthcare, clinical, or regulatory certifications relevant to the organization’s operating environment

Work Experience:

• Five years of experience in data analytics, audit analytics, business analytics, or a related data-focused role.
• Demonstrated experience performing audit analytics and supporting audits across the full audit lifecycle.
• Prior exposure to artificial intelligence concepts, tooling, automation, or deployment of AI-enabled solutions required.

Knowledge / Skills / Abilities:

• Strong knowledge of internal audit practices, audit risk assessment, testing methodologies, and audit lifecycle execution.
• Advanced proficiency in data analytics, including data extraction, transformation, analysis, and visualization.
• Strong technical proficiency in SQL required; experience with Python, Power BI, Excel, and enterprise analytics tools strongly preferred.
• Experience working with large enterprise data environments and cloud data platforms (e.g., Snowflake).
• Working knowledge of artificial intelligence concepts, AI governance, model risk considerations, and the use of AI within business and audit functions.
• Ability and interest in designing, evaluating, or deploying AI agents and automation with appropriate controls and oversight.
• Demonstrated ability to audit AI-enabled processes and systems, including evaluating risks related to data quality, bias, explainability, and controls.
• Strong leadership and mentoring skills; ability to guide, influence, and develop auditors, senior auditors, and analysts.
• Excellent communication skills with the ability to clearly present complex analytic and AI-related concepts to non-technical audiences.
• Strong documentation, organizational, and time-management skills with the ability to manage multiple priorities and initiatives.
• Exercises sound judgment, professionalism, and discretion when working with sensitive, confidential, or emerging-technology data.

Physical Requirements and Working Conditions:

• Limited travel to hospitals, physician groups, other facilities.