Intern - Data Analyst, Measurement Science詳情
簡歷投遞： lisa.yuan@nielsen.com
職位性質(zhì)： 兼職/實習(xí) 有效日期： 2012年06月14日 至 2012年07月14日
招聘人數(shù)： 多人
工作地點： 上海
Intern - Data Analyst, Measurement Science職位描述：
Intern - Data Analyst, Measurement Science
Job Summary -
Responsible for prompt delivery of project in accordance with global statistical and technical standards;
Responsibilities -
＊validate report data accuracy for new initial retail index project consistent with Nielsen’s guidelines and standards;
＊use statistical model to forecast and back trend FMCG sales data under Nielsen’s analysis research methodology;
＊seek and probe into module result, find out solutions to fix outlier and atypical trend;
＊assist and provide professional tech in statistical model setup;
Pre-requisites -
＊college student in Mathematics, Statistics, Operations Research, or related field;
＊ensure that at least 4 days per week working day;
＊Strong analytical skills with solid foundation in statistical techniques; (e.g., regression, segmentation, multivariate analysis.)
＊Working knowledge of SAS, MS Office and SQL;
＊Excellent verbal and written communication skills;
＊Ability to work in a pressure environment with highly cooperation teamwork;
簡歷投遞： lisa.yuan@nielsen.com
職位性質(zhì)： 兼職/實習(xí) 有效日期： 2012年06月14日 至 2012年07月14日
招聘人數(shù)： 多人
工作地點： 上海
Intern - Data Analyst, Measurement Science職位描述：
Intern - Data Analyst, Measurement Science
Job Summary -
Responsible for prompt delivery of project in accordance with global statistical and technical standards;
Responsibilities -
＊validate report data accuracy for new initial retail index project consistent with Nielsen’s guidelines and standards;
＊use statistical model to forecast and back trend FMCG sales data under Nielsen’s analysis research methodology;
＊seek and probe into module result, find out solutions to fix outlier and atypical trend;
＊assist and provide professional tech in statistical model setup;
Pre-requisites -
＊college student in Mathematics, Statistics, Operations Research, or related field;
＊ensure that at least 4 days per week working day;
＊Strong analytical skills with solid foundation in statistical techniques; (e.g., regression, segmentation, multivariate analysis.)
＊Working knowledge of SAS, MS Office and SQL;
＊Excellent verbal and written communication skills;
＊Ability to work in a pressure environment with highly cooperation teamwork;