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        數(shù)據(jù)分析專員英文簡歷

        時間:2017-05-12 16:17:01 英文簡歷模板 我要投稿

        數(shù)據(jù)分析專員英文簡歷模板

          Basic information

        數(shù)據(jù)分析專員英文簡歷模板

          Name: yjbys

          Gender: Male

          National: Han

          Date of birth:

          Origin: Zhejiang Ningbo

          Place of residence: Ningbo

          Marital status:

          Mobile phone: 87******

          ID: 3302*********

          E-mail: job@yjbys.com

          Job search intention

          Desired position: the data analyst

          Expectation: the financial industry

          Expected location: Ningbo

          Desired salary: 5000

          Job type: full time

          Time: at any time

          Work experience

          Start time: 2010 October to 2011 December the company name: XX estimate Co. Ltd. Job Description: mainly responsible for the company's rating data collation and acceptance check, is responsible for external data collection; to set up the company in database system, data product development work, and make the data products.

          Start time: 2011 February to 2012 August, the company name: XX Technology Development Co., Ltd. Job Description: mainly to complete data analysis in the process of data extraction, data analysis and data presentation; analysis model and development and continuous improvement, business statistics, to ensure its accuracy, practicability and scalability; based on data analysis, get valuable information, so as to the company's business operation, the direction of products, sales strategy to provide data to support.

          Education and experience

          Start time: 2007 September to 2011 July Graduate School: Zhejiang Gongshang University major: Finance degree: Bachelor

          Language ability / Skills Certificate

          The data analyst assistant

          Self assessment

          I have the overall strong communication ability, has the strong team cooperation ability, cheerful, optimistic, strong sense of responsibility. The data have a high sensitivity, can discover the relations between data, logical thinking ability outstanding and judging ability, can skilled use of processing and data analysis methods, proficiency in SPSS, SAS statistical software.

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