职位详细信息

Description of Role Initial Problem Structuring & Proposal Development: Understanding clients’ requirements (business objectives， scope of information to be covered， business questions to be answered， etc.) independently Understand the nature， source， structure & quality of data as relevant for the project Conversion of the business requirement into data specification ?C collection， structuring， cleaning， analysis， reporting As per the requirements， structuring the project (scope， research methodology， planned output ?C analysis/insights， etc.) Assist consultant to prepare proposals to be presented to the client Project Execution: Individual contribution: Data collection， structuring， cleaning Statistical analysis using analytical tools like Excel， SAS， SPSS， etc. Data modeling use advance stat as needed. Non-statistical analysis (eg. Text mining) as required Deriving insights and reporting/presentation Participating-in and driving brainstorming sessions for problem structuring， issue analysis & decision tree analysis， hypothesis building & validation， development of insights and recommendations (throughout the project) Participating in client communication throughout project lifecycle. Data relevant products innovation and development: Please note that a project may involve some or all of the elements as described above. Some projects may require us to focus only on data cleaning where as some may require us to derive in-depth insights. Expected Qualifications & Skills: 1. Degree (bachelor and/or master degree or equivalent) in a numerical course e.g. statistics， mathematics， physics， economics， engineering， computer science， information science， operations research， IT or equivalent 2. At least 3 years of experience in data analytics / data mining roles. 3. Technical skills may include: Exposure to advanced analytics methodologies / machine learning such as regression (linear， logistic， etc.)， cluster analysis， CART/CHAID， collaborative filter， deep learning， etc. Proficiency in main database， such as SQL SERVER， MySQL， Oracle， etc. Proficiency in one or more statistic / machine learning tools， such as Python， R， etc. Excellent MS Office skills， VBA will be a plus Knowledge of Big Data technique is a plus. Language skills (verbal and written): Chinese， excellent English skill will be a plus. Experience in data mining of CRM， consumer behavior (both online and offline)， auto industry is a plus. Positive attitude and solution orientation ?C people who only identify problems need not apply， we look for people who not only identify problems but also offer solutions 职能类别： 大数据开发/分析 关键字： 德资外企 世界500强 数据分析 数据建模 微信分享