Data Analyst Intern

Lenovo•Apply•Published 2 days ago•First seen 2 days ago

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$83 billion revenue global technology powerhouse, ranked #153 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

Job Description

As a Data Analyst Intern, you will support the development of data-driven insights and AI-enabled solutions that help improve business decision-making. You will work alongside experienced professionals on projects involving data integration, analytics, machine learning, generative AI, and dashboard development. This role offers hands-on exposure to end-to-end analytics projects, from data preparation and analysis to presenting findings to business stakeholders.

Key Requirements

Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Analytics, Engineering, or a related field.
Basic understanding of data modeling, database concepts, and data integration from multiple sources.
Familiarity with statistical analysis and machine learning concepts, including trend analysis, anomaly detection, clustering, and predictive analytics.
Experience with Python, SQL, R, or similar programming languages through coursework, projects, or internships.
Interest in Artificial Intelligence, Natural Language Processing (NLP), and Large Language Models (LLMs).
Exposure to data visualization and dashboarding tools such as Power BI, Tableau, or similar platforms.
Strong analytical and problem-solving skills with attention to detail.
Effective communication skills and ability to present findings to both technical and non-technical audiences.
Self-motivated, curious, and eager to learn in a fast-paced environment.

What You Will Gain

Hands-on experience working on real-world analytics, machine learning, and AI projects.
Exposure to modern data architecture, dashboard development, and business intelligence tools.
Opportunity to experiment with Generative AI and LLM technologies in practical business use cases.
Experience collaborating with cross-functional teams and engaging with business stakeholders.
Mentorship from experienced data, analytics, and technology professionals.
Development of technical, analytical, and presentation skills that will prepare you for a career in data analytics, data science, or AI.