信息技术职位 - 信息技术 - 大数据类别

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.

• 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

岗位职责： 1、负责数据分析产品的规划与实施，确保产品能够满足业务需求； 2、与业务团队紧密合作，深入理解业务流程，提供有针对性的数据解决方案；

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

1. 工作概述： 这是一份总裁助理/大数据GM的职位，需要具备在工业/制造业领域的技术部门中负责智能制造、工业智能

我们的客户是一家全球知名的金融机构，目前正在招聘首席数据专家

Drive large-scale data architecture and optimize high-performance systems as a Big Data Engineer on Recommendation Architecture Team. Use your expertise in big data frameworks to build innovative, scalable solutions that enhance user experiences for millions globally.

工作职责：

利用数据分析和机器学习技术，优化商品【定价策略】和【大促活动】的数据策略

• 与营销、运营和供应链团队紧密合作，确保数据驱动的策略有效实施。
• 领导数据科学团队，推动数据分析项目，提升团队的专业技能和创新能力。

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。