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美国金融服务业知名公司Discover子公司,高沃信息校招启动!

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高沃信息技术2021届校园招聘启动!

数据分析师岗位

坐标:上海

发现金融服务公司

(纽约证券交易所代码:DFS)

是美国领先的信用卡发卡机构

和电子支付服务公司

也是美国金融服务业最知名的品牌之一  

高沃信息技术有限公司

是发现金融服务公司的子公司


关于高沃信息技术

发现金融服务自1986年成立以来,已成为美国最大的发卡机构之一, 其支付业务包括已有数百万商户和取现网点的美国发现卡网络,大来卡网络和美国最大的ATM/借记卡网络之一----PULSE网络。

公司近年来又增加了银行,学生贷款及其它小额贷款业务。高沃信息技术(上海) 有限公司作为发现金融服务公司的子公司, 高沃信息技术(上海) 有限公司设计并开发计算机软件和数理经济模型,进行数据分析和报告, 并为DFS的美国业务提供技术支持和咨询服务。


招聘岗位


招聘岗位及任职要求

Job Title: Data Analyst

Job Location: Shanghai, China

JOB DESCRIPTION

Work independently, or as an integral part of a project team, to develop predictive models, conduct simulations, perform ad-hoc analyses, design and produce analytic reports to solve business problems. Participate in center-wide efforts to build analytical capability. The analyst may support one of the specific business areas, including marketing, risk management, customer services, and banking, etc.

RESPONSIBILITIES

1.Be responsible for data preparation, including sampling, data pulling, aggregation, and other data preparation treatments.

2.Develop types of models/prepare analytic reports which meet business objectives, requirements, and timelines.

3.Perform simulations and general ad-hoc analyses to provide insights for strategy design, evaluation and testing.

4.Communicate project results to US business partners and management in a clear and effective manner.

5. Work closely with business partners to implement models and decision strategies.

6.Document project results, address project issues and answer questions from business partners.

7.Provide input and consultation to business partners on various statistical, technical, data or business issues.

8.Identify and share programming knowledge and organizational expertise for efficient and effective execution of project tasks.

9.Engage in continuous learning to maintain a high level of competency in statistical and analytical principles, tools, and techniques.

MINIMUM REQUIREMENTS

1.Bachelor and above degree in Engineering, Computer Science, Communication, Statistics, Mathematics, Management Science, Economics, Econometrics, Operational  Research, etc.

2.Good command of English communication (both oral and written).

3.Ability in learning and improving programming skills for business analysis, strong programming skills is a plus.

4.Demonstrated project management skills, including ability to pri


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