Description and Requirements
Data Analyst - Internal Audit
Lenovo is building technology that powers progress. We are seeking a Data Analyst to help transform our Internal Audit function through GenAI, automation, and scalable analytics.
This role will lead the design, implementation, and adoption of GenAI solutions-including Copilot Studio agents, audit knowledge bases (RAG), and prompt libraries-embedded directly into audit workflows. You will also develop analytics and automation to enhance risk insights, improve audit efficiency, and enable continuous auditing.
Key Responsibilities
- Design, build, and operationalize GenAI solutions for Internal Audit, including Copilot Studio agents, RAG-enabled knowledge bases, and governed prompt libraries.
- Embed GenAI into audit workflows, supporting activities such as planning, walkthroughs, testing, and reporting.
- Drive GenAI adoption through training, enablement materials, usage guidance, and workflow integration.
- Develop scalable analytics and dashboards using Power BI, SQL, and Python to support audit planning, risk assessment, and reporting.
- Automate audit testing and continuous monitoring, improving coverage, consistency, and efficiency.
- Partner with audit leadership and business stakeholders to identify data needs, define use cases, and deliver actionable insights.
- Contribute to audit execution, including risk assessment, testing, issue identification, and reporting, using analytics and GenAI to enhance audit quality.
- Support data quality, documentation, and governance, ensuring analytics and GenAI outputs are reliable, traceable, and audit‑ready.
Requirements
- Bachelor's degree in Analytics, Computer Science, MIS, or a related field.
- 2-5 years of experience in data analytics, business intelligence, automation, or GenAI experience in audit, risk, or finance is strongly preferred.
- Hands-on experience building enterprise GenAI solutions, with Copilot Studio experience required.
- Experience designing and governing RAG / knowledge base solutions, including content curation and access control.
- Strong Power BI capabilities, including data modeling, DAX, and dashboard design.
- Solid understanding of data quality, analytics logic, and audit/risk use cases.
- Ability to communicate clearly with both technical and non‑technical stakeholders.
