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联想集团

FP&A Specialist

  • 社招
  • 本科及以上
  • 财务
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岗位描述

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).

To find out more visit www.lenovo.com and read about the latest news via our StoryHub.

Job Responsibilities:

1. FP&A support for CSO, including monthly close, forecast, variance analysis (YTY/QTQ/CTC), management reporting, and business reviews.

2. Partner with business stakeholders and Finance Business Partners to identify key financial drivers, risks, and opportunities.

3. Drive standardization and continuous improvement of FP&A processes, reporting frameworks, and management reviews.

4. Leverage data analytics and AI-enabled tools to improve efficiency, automate recurring activities, and enhance insight generation.

5. Contribute to the development of finance knowledge repositories, business intelligence, and best practices to strengthen organizational capability and knowledge sharing.

6. Support strategic projects, resource planning, and ad hoc business analyses across CSO, R&D, and corporate functions.

Job Requirements:

1. Bachelor's degree or above in Finance, Accounting, Economics, Business, Data Analytics, or related disciplines.

2. 1-3 years of experience in FP&A, finance business partnering, consulting, or related analytical roles.

3. Strong financial modeling, forecasting, and variance analysis skills.

4. Familiarity with AI and automation tools.

5. Excellent communication skills in English.

6. Self-motivated, proactive, and comfortable working in a dynamic, cross-functional environment.

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