Operations Analytics Specialist (Python & SQL)

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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 Responsibilities:

  1. Ensure the smooth operation of daily business activities to maintain consistent workflow efficiency.
  2. Analyze existing workflows, identify potential bottlenecks, and resolve them with innovative and out-of-the-box solutions.
  3. Manage AI agents effectively, including oversight of their performance, optimization, and day-to-day operational deployment.
  4. Facilitate cross-team collaboration, coordinate communication between different departments, and drive efficient cooperation to achieve common business goals.

Job Requirements:

  1. Possess strong analytical skills to assess workflow processes and identify areas for improvement.
  2. Demonstrate creative problem-solving abilities, with a proven track record of developing innovative solutions to address operational bottlenecks.
  3. Have practical experience in managing AI agents or relevant digital tools, with an understanding of their operational principles and optimization methods.
  4. Exhibit excellent cross-team communication and coordination skills, able to bridge gaps between different teams and promote collaborative work.