Data Analyst

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

• Work with the business leaders, project sponsors and analytics teams to understand the data requirements
• Collect, process, and analyze large datasets from various sources to support business objectives and development of insights.
• Drive data based decisions through analytics, reporting and implementation of dashboards
• Research and apply multidisciplinary techniques, findings and approaches to solutions driving the business’ understanding of its market, its internal operations, and its opportunities
• Review, implement, analyze and enhance algorithms that will substantially improve analytics capability of the business
• Assist in development and testing of analytics proofs-of-concepts and Data Quality Checks
• Ensure delivery excellence in terms of timelines and accuracy
• Collaborate with cross-functional teams, including sales, marketing and product managers, and business analysts, to identify data-driven insights.
• Communicate findings and insights to stakeholders through clear and compelling data visualizations and reports.
  
  

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.