Lenovo

Compensation

Full Description

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. Key Responsibilities Design, Build Support Complex Datasets • Support the connection, structuring, and preparation of datasets from various stakeholders. • Assist with configuring API connections and automated data pipelines. • Write and optimize SQL queries to support efficient data processing. • Help maintain and improve the data warehouse environment. • Use AI tools (LLMs, Workflows, Automation) for data cleaning, modelling, and workflow improvement. • Explore predictive or automated techniques (e.g., AI powered insight generation, anomaly detection, trend flagging, classification logic) alongside team members. Enable Data-Driven Storytelling Visualization • Work with Marketing teams across regions to help turn complex datasets into meaningful insights. • Build dashboards, reports, and visualizations in Domo/Tableau that support day-to-day decision-making. • Provide training and support to stakeholders on dataset usage and visualization best practices. • Apply AI-powered capabilities (e.g., automated narratives, data summarization, pattern recognition) to enhance dashboards and insight delivery. • Use LLMs to speed up documentation, metadata creation, and initial drafts of analyses. Support Holistic, AI-Enabled Insight Generation • Contribute to structured analysis aligned with key business priorities. • Assist in introducing new techniques leveraging machine learning or AI, working closely with senior analysts to test and apply them appropriately. • Support ongoing improvement of methodologies for defining and calculating Marketing ROI. • Stay aware of evolving analytics technology, including new AI tools, and flag opportunities for the team to adopt or experiment with them. Basic Qualifications • Bachelor’s degree in Information Systems, Statistics, Computer Science, Engineering, or equivalent experience. • 3+ years of experience in a data-driven environment, ideally supporting BI, ETL, or analytics workflows. • Strong foundation in data manipulation, SQL, and analytical thinking. Preferred Qualifications • Exposure to Python, Java, or R (basic scripting skills a plus, but not required). • Experience working with large datasets and applying basic statistical methods. • Dashboard/visualization experience (Domo, Tableau, Power BI, etc.). • Practical experience using AI tools (LLMs, copilots, generative AI) for analysis, automation, or productivity enhancements. • Familiarity with predictive analytics or machine learning concepts (foundational knowledge is sufficient). • Strong communication, collaboration, and project coordination skills. • Ability to present insights in a clear and business-friendly way. • Curiosity, problem-solving mindset, and interest in learning new technologies — especially AI. 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.