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  • 數(shù)據(jù)分析專員英文簡歷

    時間:2024-08-05 09:10:08 英文簡歷模板 我要投稿
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    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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