China jobs in IT - Big Data

一家外资零售快消行业巨头的ETL开发岗位，提供你在快节奏环境中与年轻的团队一起成长学习的机会，帮助完成在大陆地区核心项目的数据库的搭建。

• Develop an evolving data Architecture for China.
• Key role in designing future data stack technical roadmap.
• The data architect is responsible for consistently available and trusted master data across the enterprise.​

Strategic tax role with global exposure and executive visibility.

1. Led data science initiatives across multiple business units (Buying, Finance, Clienteling, Digital) to support commercial decision-making through predictive modeling and customer analytics

2. Projects included traffic forecasting, sales prediction and pricing simulation, customer segmentation, and model deployment using MLOps tools in AWS

• Develop and maintain data models that align with business requirements and technical constraints.
• Collaborate with cross-functional teams to define data architecture strategies.
• Ensure data integrity, security, and compliance with industry standards.
• Lead data integration projects and manage data migration activities.

• You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
• Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
• Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered

负责公司的业务数据BP，与各业务和技术部门密切合作，推动数据建模、数据开发、数据质量的提升，协助制定数据驱动的业务策略。

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

工作职责：

负责大数据分析咨询业务的售前客户需求沟通和理解，熟悉企业经营方式，深刻理解企业营销、销售、产研、财务、售后等至少两个以上领域，基于公司的大数据/AI产品和服务为客户定制解决方案

This role provides you with the opportunity to grow together with a young team in a good environment, and assist in completing the AI project landing for various BU groups in the Asia-Pacific region.

Job Responsibilities:

• Data Analysis: Perform in-depth data analysis to identify trends and insights.
• Product Development: Drive the development of data-driven products and services.
• User Experience: Ensure data products meet the needs of end-users and enhance their experience.

工作职责：
1. 主要职责： 构建金融支付核心产品的关键业务指标体系，监控数据异常，分析潜在问题，及时识别业务风险，并提供专业建议以支持决策。
2. 数据驱动决策： 与业务团队合作，进行数据建模和迭代优化，运用AB测试等方法评估改进效果，推动业务部门的数据驱动决策。