WW Data Analytics Intern

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.

About The Role We are looking for a curious and motivated Data Products AI Intern to join our global Data Analytics team.

This role offers an opportunity to work on modern data products, automation, and AI-driven solutions that support decision-making across the organization. You will collaborate with data engineers, analytics professionals, and AI practitioners to help build reusable data assets, improve data accessibility, and accelerate the adoption of AI technologies.

If you are passionate about data, technology, and innovation, this internship will provide hands-on experience with real-world projects that drive business impact at scale.

Responsibilities

• Support the development and continuous improvement of enterprise data products.
• Write and optimize SQL queries to access, transform, and validate data from multiple sources.
• Assist with building and maintaining automated data pipelines and data workflows.
• Explore and apply AI technologies, including generative AI, copilots, and intelligent agents, to solve business challenges.
• Contribute to the design and implementation of data models that enable scalable analytics and AI solutions.
• Help improve data quality, metadata management, and governance practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Document data assets, processes, and technical solutions to promote knowledge sharing and reusability.
• Participate in innovation initiatives focused on AI, automation, and emerging technologies.

Qualifications

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Artificial Intelligence, Software Engineering, or a related field.
• Fluent English.
• Availability of approximately 20 hours per week.
• Basic knowledge of SQL and database concepts.
• Interest in data products, data engineering, automation, and AI technologies.
• Familiarity with Python or other programming languages is an advantage.
• Understanding of cloud platforms, machine learning concepts, or data platforms is a plus.
• Strong analytical thinking and problem-solving skills.
• Eagerness to learn, experiment, and work with emerging technologies.
• Ability to work independently and collaborate effectively within a global team.

What You'll Gain

• Hands-on experience developing enterprise-scale data products.
• Exposure to modern data platforms, automation technologies, and AI solutions.
• Opportunity to work on real AI adoption and innovation initiatives.
• Mentorship from experienced data engineering, analytics, and AI professionals.
• Experience working in a global, data-driven organization.
• The ability to influence how data and AI are used to drive business outcomes.

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.