Internal Audit Data Analyst

Internal Audit Data Analyst The Internal Audit Data Analyst will focus on driving analytic efforts in support of internal audits, advisories, issues validation, developing data and technology capabilities such as continuous monitoring, automation, advanced analytics such as Machine learning, NLP, and AI. The individual will also support on confidential and time sensitive internal audit and related projects. Under limited supervision, this job identifies potential internal controls issues through analytics and automation pertaining to the project area and recommends solutions. Key Responsibilities and Duties • Liaises with senior management when communicating data analytic results and associated control recommendations • Advises senior personnel within Internal Audit and across the company resolve issues, gain needed information and influence outcomes. • Manages performance of team through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional products and engagement, motivation, and development of team. • Reviews, develops and documents detailed data analytic routines, scripts, queries, and procedures that identify potential internal controls issues and recommends solutions. • Emphasis on analytics delivery and quality, responsible for partnering across IAS and TIAA to brainstorm, define, design and implement analytics and supporting procedures across projects and critical business areas. • Manages less complex audit engagements and teams in special projects or implementation of initiatives. • Contributes to the development of analysis and automation solutions which shape the scoping of complex audits and related reviews. • Researches and resolves difficult transactional issues • Experience in data acquisition (i.e. ETL, ELT), data management (cataloging, ensure quality, profiling), data analysis, Business Intelligence and advanced analytics (AI/ML/RPA) • Employs multiple analysis and automation tools (e.g. Python, Snowflake, SQL, SSIS, Tableau, Power BI, RPA tools such as Selenium, Power Automate , DataStage, and APIs) and audit methods, techniques and approaches for obtaining optimal results Educational Requirements • University (Degree) Preferred Work Experience • 1+ years Required • 3+ years Preferred Physical Requirements • Physical Requirements: Sedentary Work Career Level 7IC Key Responsibilities and Duties: • Integrate with audit teams on individual audit engagements as an embedded technical specialist to develop and execute advanced testing procedures for complex business processes, AI models, and analytics-intensive audits. • Take responsibility and ownership for the development and execution of testing, including the vetting of potential exceptions and false positive results and discussion of potential issues with business area management. • Develop repeatable analytics, dashboards, scripts, and automated testing routines using tools such as SQL, Python, R, Power BI, Tableau, Excel, or similar platforms. • Design and perform substantive testing procedures leveraging large datasets, automated analytics, and statistical sampling techniques. • Execute audit tests on AI systems and machine learning models, including performance validation, bias testing, and control effectiveness assessments. • Document audit testing procedures, findings, and technical conclusions in accordance with audit standards and methodologies. • Work closely with the IAS innovation function to pilot new tools (including AI tools) and ways of auditing. Business or Industry Expertise: • Strong proficiency with data analytics tools and techniques, including SQL, Python, R, SAS, Excel, Tableau, Power BI, or similar data extraction, analysis, and visualization platforms. • Experience working with large datasets, identifying data quality issues, performing reconciliations, developing exception reports, and communicating analytics results to audit and business stakeholders. • Desired basic knowledge of the Institute of Internal Auditor's (IIA) International Professional Practices Framework (IPPF) to which the Internal Audit Division's methodology is aligned Interactions / Interpersonal Skills: • Networks with senior personnel within the business units and across groups to resolve issues, gain needed information and influence outcomes. • Participate in discussions with senior management related to data acquisition and management reporting. • Participates in defining data analytics, AI and Model testing standards for the organization. • Contributes to decisions and projects that have a moderate to high impact to the organization. Required Education: Bachelor’s degree in information systems, Information Technology, Computer Science, Accounting, Finance or other related discipline required. Preferred Education: Master’s degree in quantitative filed such as Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Statistics, Mathematics, Engineering, Finance, or Economics preferred Preferred Experience: 3+ years in Internal Audit or Risk Management with advanced analytics and/or AI/ML model audit experience Skills and Abilities: Experience with the following activities and tools: • Proficiency with data analytics tools (Python, R, SQL, SAS, Tableau, Power BI) • Ability to collaborate effectively with diverse audit teams and business area management • Strong understanding of financial products, risk management, and regulatory requirements Familiarity with audit management systems and documentation standards Required Licenses/Certifications: Professional certifications (CIA, CISA, CPA, CFA, FRM), preferred. Candidate is required to complete one of CPA, CA, CFE, CIA or CISA certifications within 18 months of joining Internal Audit Services. Related Skills Adaptability, Auditing, Audit Process Improvement, Communication, Critical Thinking, Data Analysis, Problem Solving, Relationship Management, Technology Systems _________