Internal Audit Data Analyst

Key Responsibilities

• Build and grow data analytics capabilities in Internal Audit at Lenovo, with a primary emphasis on GenAI enablement and adoption for audit teams.
• Design, build, and enhance Internal Audit GenAI capabilities (e.g., IA Agent) and ensure practical adoption by audit teams through enablement, training, and feedback loops.
• Develop and curate an Internal Audit Knowledge Base to improve consistency and accuracy of AI-assisted outputs and enable source-grounded retrieval (RAG) across audit content.
• Develop and maintain an IA Prompt Library / prompt engineering standards, including governance and continuous improvement based on user feedback and real audit scenarios.
• Partner with audit leadership to embed GenAI tools into the audit lifecycle and training agenda (hands-on usage, training workshops, and adoption expectations).
• Identify, design, and develop data analytics extract routines to support all phases of audit activities performed by the Internal Audit team, including risk assessment, planning and scoping, testing, and reporting.
• Manage data extraction, storage, transformation, and processing through analytics routines (e.g., Power BI / SQL / Python), and generate outputs for visualization and analysis by the Internal Audit team.
• Create innovative and reusable analytics/automation solutions (Power BI dashboards; Power Automate/Power Apps workflows) to drive auditor self-service and reduce manual effort.
• Use data analysis tools to automate audit testing and develop techniques for continuous auditing and analyzing large volumes of data.
• Interact with management and business partners to identify appropriate data sources and data elements required for analytics and GenAI enablement, applying professional skepticism when assessing data sources and validating completeness and accuracy of data received.
• Transfer appropriate knowledge to Data Champions and the wider Internal Audit team in relation to GenAI usage (how to use the agent/prompt library responsibly), data, systems, and analytics queries.
• Collaborate with Internal Audit team members in working towards departmental goals.
• Execute special projects and other assignments as requested by management.

Qualifications

• Bachelor’s degree in Business Analytics, Mathematics/Statistics, Computer Science, MIS, or related field.
• 3+ years of relevant/recent experience in data analytics / GenAI / BI / automation supporting audit, risk management, investigation, finance, or technology functions.
• Proven ability to build/publish Copilot Studio agents, including intents/topics, user journeys, and connecting agents to internal systems/knowledge/workflows.
• Experience implementing knowledge base + retrieval (RAG) using enterprise content (e.g., SharePoint/Teams/docs), with attention to governance and access control.
• Demonstrated ability to drive GenAI adoption through training, enablement materials, feedback loops, and embedding usage into daily workflows (beyond pilots).
• Strong understanding of relational concepts, data quality validation, and analytics logic for audit/risk use cases (e.g., exception/red flag detection, trend analysis, coverage metrics).
• Ability to query/transform structured data; comfortable with joins, aggregations, and reusable query logic.
• Ability to use Python for data preparation, analysis, automation scripts, or prototyping analytics methods.