为什么选择联想
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.