职位薪资：18000-22000
经验：3-5年
学历：本科
类型：全职
1. Participate in or lead the data analysis, business analysis, business modeling and data modeling of OnStar Big Data related projects;
参与或主导安吉星大数据相关项目数据分析、业务分析、业务建模和数据建模；
2. Conduct analysis and research on business scenarios and related data to effectively understand business opportunities and bottlenecks;
针对业务场景及相关数据进行分析研究,有效洞察业务机会和瓶颈；
3. Quickly discover problems in the business through data monitoring, and provide in-depth analysis to provide high-value coping strategies and recommendations for the business and product departments;
通过数据监控快速发现业务存在的问题,并经过深入分析为业务及产品部门提供高价值的应对策略和建议；
4. Establish an effective business analysis framework (including clients, operating systems, partners, etc.) and apply them to the business;
建立有效的业务分析框架体系（包括客户端、运营系统、合作伙伴等）,并应用于业务；
5. Implementation of big data projects.
实施安吉星车联网大数据项目。
6. Bachelor degree or above in computer related major, more than 5 years working experience, 3 years of data analysis experience;
计算机相关专业本科及以上学历,5年以上工作经验,3年以上数据分析经验；
7. Proficient in data modeling, data mining prediction, domain modeling, data warehousing, etc., with good data analysis skills, abstract summary capabilities and accurate analysis of complex business problems;
精通数据建模、数据挖掘预测、领域建模、数据仓库等,具备良好的数据分析技能,抽象汇总能力并精确的分析复杂业务问题；
8. Proficient in SAS, SPSS, R, Oracle, ERWIN, Python and other data tools;
精通SAS、SPSS、R、Oracle、ERWIN、Python等数据工具；
9. Proficient in business domain data analysis, with relevant big data modeling capabilities;
精通业务领域数据分析,具有相关的大数据建模能力；
10. Familiar with CRM, SCM, customer precision marketing and other related knowledge;
熟悉CRM、SCM、客户精准营销等相关知识；
11. Familiar with MPP, Oracle, NoSQL, ETL, Hadoop database technology;
熟悉MPP、Oracle、NoSQL、ETL、Hadoop数据库技术；
12. Be proactive, have strong learning ability, strong communication skills, and be willing to work hard;
积极主动、学习能力强、沟通能力强、肯吃苦耐劳；
13. Experience in vehicle networking / Internet distributed big data mining, BI, and data warehouse development is preferred.
有车联网/互联网分布式大数据挖掘、BI、数据仓库开发实施经验者优先。
