深圳招聘

Description of Role

1. Initial Problem Structuring & Proposal Development:

1. Understanding clients’ requirements (business objectives, scope of information to be covered, business questions to be answered, etc.) independently

2. Understand the nature, source, structure & quality of data as relevant for the project

3. Conversion of the business requirement into data specification – collection, structuring, cleaning, analysis, reporting

4. As per the requirements, structuring the project (scope, research methodology, planned output – analysis/insights, etc.)

5. Assist consultant to prepare proposals to be presented to the client

Project Execution:

1. Individual contribution:

1. Data collection, structuring, cleaning

2. Statistical analysis using analytical tools like Excel, SAS, SPSS, etc.

3. Data modeling use advance stat as needed.

4. Non-statistical analysis (eg. Text mining) as required

5. Deriving insights and reporting/presentation

1. 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)

2. 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:

1. Exposure to advanced analytics methodologies / machine learning such as regression (linear, logistic, etc.), cluster analysis, CART/CHAID, collaborative filter, deep learning, etc.

2. Proficiency in main database, such as SQL SERVER, MySQL, Oracle, etc.

3. Proficiency in one or more statistic / machine learning tools, such as Python, R, etc.

4. Excellent MS Office skills, VBA will be a plus

5. Knowledge of Big Data technique is a plus.

1. Language skills (verbal and written): Chinese, excellent English skill will be a plus.

2. Experience in data mining of CRM, consumer behavior (both online and offline), auto industry is a plus.

3. Positive attitude and solution orientation – people who only identify problems need not apply, we look for people who not only identify problems but also offer solutions

创建于1835年的德国贝塔斯曼集团是世界三大传媒巨头之一，在全球63个国家拥有近400家公司，是《财富》全球500强企业之一。

    上海贝塔斯曼商业服务有限公司简称欧唯特(中国)，是德国贝塔斯曼集团在华独资子公司，作为处于领先地位的拥有高度整合和适应能力的国际企业服务供应商，我们针对客户关系管理和供应链管理为企业在中国乃至全球范围提供个性化服务解决方案。

    欧唯特于2001年初进入中国市场，目前已将业务拓展到航空、汽车、传媒、旅游、保险、电信、直销、快速消费品、金融服务等领域，与众多知名企业建立了合作伙伴关系。公司以上海为总部，相继在北京、广州、长春成立了分公司。2009年在深圳成立了深圳欧唯特物流服务有限公司的合资企业，为中国移动及高端电子产品行业提供世界级物流服务，以满足国内外客户日益扩大的市场需求。

    欧唯特提倡关注合作伙伴利益，注重提升合作伙伴的可发展空间，希望通过建立共同成长的伙伴关系，为客户提供全面的产品、完善的解决方案和优质的服务。欧唯特运用不断革新的信息技术和服务，来追求其商业合作伙伴的竞争能力的持续优化。

    我们的服务内容：客户关系与忠诚度咨询、数据管理、促销管理、顾客互动中心、客户服务解决方案、财务服务、物流服务等。

    我们始终倡导平等的就业政策，助力残障人才持续的职业发展 ，确保各类人群在欧唯特拥有平等的就业机会和待遇。