Data Analyst

About Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Lenovo is seeking a Data Analyst to support the Internal Audit function, with a primary focus on enabling GenAI solutions (agent, knowledge base, and adoption) alongside scalable analytics and automation.

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.

Project 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 reviews work products of others in area of responsibility, provides highly constructive critical feedback, and takes appropriate corrective actions. Maintain excellent relationship with clients and act in a professional manner. Independently develops and implements solutions to problems. Consistently seeks opportunities to support objectives through individual and team efforts.

Communication & Collaboration:

Regularly deals with managers/senior managers/executives within the organization. Communicates 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.

Business Acumen:

Be accountable to contribute to projects involving multi-functional teams. May regularly participate in overall functional projects. Make leadership and review-related decisions promptly and effectively. Understand the business and complexities of the environment, appreciate the struggles of balancing resources and company priorities, and propose solutions based on cost/benefit analysis. Actively seeks opportunities to add value, insight and facilitate business collaborations.

Contribution / Leadership

Independently identify, plan, and execute projects. Assist team leaders to complete phases of an audit from planning and risk assessment to testing and communication of results to achieve audit objectives. Anticipates problems or changes in plans and reviews, and recommends appropriate solutions. Consistently takes personal responsibility for the success of mentored team members and others.

Basic Qualifications:

Education & Experience

• 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.
• GenAI Development & Adoption experience
• Hands-on experience designing, building, or configuring GenAI solutions for enterprise teams, preferably for Internal Audit / Risk / Investigation use cases.
• Copilot Studio (Strong Requirement): Proven ability to build/publish Copilot Studio agents, including intents/topics, user journeys, and connecting agents to internal systems/knowledge/workflows.
• RAG / Knowledge Base Enablement (Required): Experience implementing knowledge base + retrieval (RAG) using enterprise content (e.g., SharePoint/Teams/docs), with attention to governance and access control.
• Adoption & Change Management (Required): Demonstrated ability to drive GenAI adoption through training, enablement materials, feedback loops, and embedding usage into daily workflows (beyond pilots).
• Core BI & Analytics (REQUIRED)
• Power BI (Required): Proven capability building production dashboards including data modeling, DAX, measures, and performance optimized visuals.
• Data Modeling & Analytics: 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).
• SQL (Required): Ability to query/transform structured data; comfortable with joins, aggregations, and reusable query logic.
• Python (Required): Ability to use Python for data preparation, analysis, automation scripts, or prototyping analytics methods.

Preferred Qualifications:

Automation / Workflow Engineering

• Power Automate: Workflow automation, integrations, orchestration.
• Power Apps: Lightweight intake forms/tools and operational apps supporting audit workflows.

Domain Knowledge

• Working knowledge of internal controls, audit methodology, and evidence-based analysis.
• Experience supporting continuous monitoring / continuous auditing, KRIs, or exception-based testing.
• AuditBoard: Familiarity with AuditBoard as an audit execution and workpaper/project management platform, including dashboards/workflows and how audit teams use it day to day.

Professional Attributes

• Strong analytical thinking, structured problem solving, and “data intuition” (translate ambiguous audit/risk questions into measurable analytics).
• Strong communication and relationship building skills.

Other Requirements

• Optional Certification: CIA.
• Fluent in Mandarin

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.