Intern - Data Analyst, Measurement Science詳情
簡歷投遞: lisa.yuan@nielsen.com
職位性質(zhì): 兼職/實(shí)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(diǎn): 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(shí)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(diǎn): 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;