Data scientist(A/B Testing)
广州瑞利联科信息技术有限公司
- 公司规模:50-150人
- 公司性质:合资
- 公司行业:互联网/电子商务
职位信息
- 发布日期:2019-07-30
- 工作地点:广州
- 招聘人数:若干人
- 工作经验:无工作经验
- 学历要求:招若干人
- 语言要求:不限
- 职位月薪:3-4万/月
- 职位类别:算法工程师 专业顾问
职位描述
Roles and Responsibilities
- Analyze digital data such customer digital footprint (e.g. traffic sources, page flow, and site conversion) and customer online behavior with web analytics tools
- Provide insights to drive future decisions to acquire new digital audiences (e.g. running experiments, robust process for A/B testing and timely sharing of outcomes/ business insights, etc.)
- Proactively identify growth opportunities and drive on-going improvements to increase the online conversion rate and enhance customer experience。
- Develop and maintain reporting dashboards to effectively measure and report on performance, and then deliver relevant insights to drive development of new initiatives and optimization of existing strategies
- Present results to stakeholders and make recommendations for improvement.
- Collaborate with colleagues in the digital ecosystem to deliver best in class digital analytical support.
Requirements:
- 2+ years of analytical experience focused primarily in digital analytics / marketing analytics in online retail, travel or banking/finance
- Innovative, self-starter, good problem solver
- Ability to quickly understand business problems and translate to data and analysis requirements
- Strong English communication and ability to communicate complex data effectively to a variety of audiences
Technical skills (any of the following):
- Google Analytics, Adobe Analytics, Adobe Ad-hoc, Adobe Target, Omniture, Ptengine, GrowingIO, Baidu Web Analytics, Baidu Tongji, Webtrends, Celebrus, etc.
Desirable Skills (Training could be provided):
- SQL, SAS, R, Python, etc.
- Tableau, Qliksense, Cognos or the like.
公司介绍
瑞利联致力于研发互联网生活服务、在线运营平台,大数据,云平台开发应用!为各行业提供解决方案的高新技术企业。 在“互联网+”人工智能成为企业经济增长新模式的形式下,瑞利联不断创新产品服务和商业模式,为客户创造互联网化商业模式创新、传统企业转型策略、企业营销互联网化与信息化指导等。依托多年的互联网核心技术沉淀,为创业者与企业提供更符合时代发展的“互联网+”的软件产品,以及互联网平台,大数据,云平台运营管理。
利用人工智能,移动互联网技术、云平台,大数据构建大物流生态。打造一条有价值的人工智能,大数据,云配货等物流服务平台,创造有价值的供应链和有价值的产业链,成为行业备受尊敬的高科技公司。
利用人工智能,移动互联网技术、云平台,大数据构建大物流生态。打造一条有价值的人工智能,大数据,云配货等物流服务平台,创造有价值的供应链和有价值的产业链,成为行业备受尊敬的高科技公司。
联系方式
- 公司地址:地址:span广州