Internal Audit Data Analyst

Key Responsibilities

This position will play a pivotal role in building and growing the data analytics capabilities in Internal Audit at Lenovo, with a primary emphasis on GenAI enablement and adoption for audit teams. The role will design, develop, and operationalize GenAI solutions (e.g., Copilot Studio agent, knowledge base/RAG, prompt library) and embed them into audit workflows through training, change management, and measurable adoption.

In addition, the role will identify, design, and develop data analytics routines and automation to support audit activities performed by the Internal Audit team. Maintain an effective system of analytics and models that provide enhanced insight into risks and controls, establish efficient/automated means to analyze and test large volumes of data for outliers, anomalies, patterns, and trends, and help evaluate the adequacy and effectiveness of controls.

Create repeatable analytics to support continuous audit monitoring programs.

• GenAI development adoption (primary):
  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.
• Identify and develop 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.
• Interact and collaborate with Internal Audit team members in working towards departmental goals.
• Execute special projects and other assignments as requested by management.

Be exceptionally skilled at identifying, prioritizing, and articulating, applying effective methods of audit testing and data analysis. Work independently on all aspects of audit engagements. Prepare complete and meticulous audit work products consistently, including preparation of data sheets and work papers within standard time frames without reminders. Proactively review work products of others in area of responsibility, provide highly constructive critical feedback, and take appropriate corrective actions.

Maintain excellent relationship with clients and act in a professional manner. Independently develop and implement solutions to problems. Consistently seek opportunities to support objectives through individual and team efforts.

Regularly deal with managers/senior managers/executives within the organization. Communicate confidently in a clear, concise and articulate manner, providing relevant facts to the client, team leader, and management. Alert management when concerns arise. Offer recommendations or solutions to problems.