Design, Build & Support Complex Datasets
- Support 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.
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.
Why Work at 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.