基本信息

职位编号:
WD00047477
工作领域:
Accounting/Finance
国家/地区:
中国
省:
辽宁
市:
大连(Dalian)
日期:
星期二, 11 月 29, 2022
工作性质:
Full-time
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为什么选择联想

我们是联想。我们说到做到。我们尽心尽力,成就客户。联想是一家全球收入高达4410亿人民币的科技公司,财富世界500强排行217,全球员工多达77000人,每天为数百万名客户在全球180个市场地区提供服务。我们专注提供崭新科技给所有人,联想已成为全球最大的电脑供应商,在未来我们会专注发展新科技,把我们的成功发展到新领域(客户端科技、边缘计算、云端科技、网络服务和智慧科技等)包括服务器,储存装置,智慧设备、解决方案和服务。联想的创新科技理念和转型将为世界带来更独特,更可靠和更智能的未来、了解更多资讯和最新动态,请浏览www.lenovo.com上的故事中心。

职位描述和要求:

Must-have Skills
       Good communication skill, proficient in English both in writing and speaking, work directly with different business partners to capture/analysis business requirements and meet the requirements
       Solid background of technical BI skill, familiar with the data warehouse architecture and data flow
       Good sense of business/data, the quick learning capability to better understand the value of the project as well as help the customers to implement the requirements
       Strong sense of responsibility and good ability of troubleshooting and solving
Basic Requirements
       Bachelor degree or above
       3+ years working experience with multi domain business experience, e.g. FP&A, Supply Chain, Finance, etc.
       Excellent in analytics techniques and BI tools, especially the Power Bi, the other BI tools experience like Qlik, Tableau, SAC or development language like JAVA/Python will be a plus.
       Solid knowledge of DAX / M language, good sense of UI designing, familiar with RLS authorization.
       Good experience with agile development models and data modeling.
       Solid knowledge of the database(traditional database like SQL Server/Oracle/My SQL, etc.) and ETL like SSIS, etc.
       Good English communication skills - written and verbal.
       Familiar with SAP ECC/BW, Microsoft Power Platform, big data platforms/tools/applications such as Hive/Spark will be a plus.
Work Content
       Work as a BI developer or consultant to help Lenovo Finance team to accelerate the digital transformation, including the data invesigation, analytical/report modeling, dashboard design, ensure data & report usage adheres to company's best practice & policy
       Hub dataset setup for further drill down and self service
       Dashboard / report’s UAT support (training, Q&A, issue investigation)
       Trigger change management process
       Enhancement based on standard reporting request
       Continuous support on business/structure changes
       Similar purpose dashboard request combination
       Collect, analysis the request from different Business tower and provide the proper solution for the business team
       Data consolidation, standardization and data governance, etc.

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