基本信息

职位编号:
WD00006587
工作领域:
Data Management and Analytics
国家/地区:
中国
省:
北京
市:
北京(Beijing)
日期:
Wednesday, August 11, 2021
工作性质:
Full-time

为什么选择联想

联想是一家成立于中国、业务遍及180个市场的全球化科技公司,全球约有7万多名员工。联想聚焦全球化发展,树立了行业领先的多元企业文化和运营模式典范,服务全球超过10亿用户。作为值得信赖的全球科技企业领导者,联想助力客户,把握明日科技,变革今日世界。

 

联想作为全球领先ICT科技企业,秉承“智能,为每一个可能”的理念,为用户与全行业提供整合了应用、服务和最佳体验的智能终端,以及强大的云基础设施与行业智能解决方案。

 

赶快加入我们吧!

职位描述和要求:

Responsibilities will include but not be limited to the following: 
1.Work with cross-functional stakeholders to understand the business process and build and review conceptual and logical models. 
2.Convert logical models to the solution and physical models and generate DDLs for implementation. 
3.Review the models in-depth to ensure compliance with data modeling standards Facilitate and resolve conflicts while merging cross-domain models 4.Work with the program manager to understand the project requirements and work towards accomplishing sprint goals. 
5.Work with the data ingestion team for proper implementation of physical models in the database. 
6.Review the physical tables to ensure all business rules and relationships have been addressed. 
7.Design analytical models that support complex data analytical reporting. Position Requirements:

Position Requirements: 
1.8 years of professional experience in developing Entity Relationship Diagrams and Dimensional Models/ Data Modeling tools such as ER/Studio /Data Architect or ERwin/Writing SQL scripts
2.Bachelor’s Degree with equivalent work experience of 8 years Professional Skill Requirements: 
1)Ability to work with diverse teams across the globe with flexibility in time zone challenges 
2)Excellent leadership, communication (written and oral) 
3)Skilled in explaining complex findings and approaches to nontechnical or junior-level audience 
4)Knowledge of Agile Methodology 
5)Strong customer focus experience 
6)Experience in making data meaningful to the customer Logical data model development using a top down business narrative approach applying naming standards of modifier/primer/class words