基本信息

职位编号:
WD00099259
工作领域:
Supply Chain
国家/地区:
中国
省:
北京
市:
北京(Beijing)
日期:
星期三, 6 月 3, 2026
工作性质:
Full-time
其他工作城市
* China - Beijing - 北京(Beijing)

为什么选择联想

联想文化,我们称之为 “We Are Lenovo”(我们,就是联想),其核心是:“说到做到,尽心尽力,成就客户”。

联想集团是一家年收入830亿美元的全球化科技巨头,位列《财富》世界500强第196名,服务遍布全球180个市场数以百万计的客户。为实现“智能,为每一个可能” 的公司愿景,联想在不断夯实全球个人电脑市场冠军地位的基础上,积极构建全栈式的计算能力,现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图,包括个人电脑、工作站、智能手机、平板电脑等终端产品,服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起,共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市(港交所:992)(美国预托证券代号:LNVGY)。

欢迎访问联想官方网站 https://www.lenovo.com,并关注“联想集团”微博及微信公众号等社交媒体官方账号,或关注“联想招聘”公众号,获取联想最新动态。

职位描述和要求:

Job Responsibilities

1. Maintain and update rolling demand forecasts on a regular basis for Visuals and Accessories products, ensuring timely and accurate data input.

2. Integrate inputs such as sales pipeline, historical performance, promotion plans, pricing strategies, and new product introduction (NPI) schedules into demand planning.

3. Continuously enhance forecast accuracy and improve demand visibility throughout product lifecycles, with a focus on generational transitions.

4. Monitor supply and demand balance, identify potential risks such as shortages or excess inventory, and proactively recommend mitigation actions.

5. Manage inventory health by tracking slow-moving, excess, and end-of-life (EOL) items, including monitoring excess and obsolete (E\&O) risks.

6. Collaborate closely with cross-functional stakeholders including Product Managers, Sales, Business Units, and Supply Chain teams to align planning activities.

7. Support promotional activities, key strategic projects, and major customer engagements by providing demand analysis and planning insights.

Job Requirements

1. Educational background in Supply Chain, Business, Finance, Engineering, or a related field.

2. Relevant experience in Demand Planning, Supply Chain, or Sales Operations, with demonstrated understanding of end-to-end planning processes.

3. Solid knowledge of demand forecasting, inventory management, and supply-demand balancing concepts.

4. Strong analytical capabilities with proficiency in data analysis tools, including advanced Excel skills.

5. Experience using business intelligence tools, such as Power BI, to support data-driven decision making.

6. Strong collaboration and communication skills, with the ability to work effectively across multiple teams and functions.


其他工作城市
* China - Beijing - 北京(Beijing)
* China - Beijing - 北京(Beijing)
* China - Beijing
* China