Data jobs

Join a global lead tech company as a Lead Data Warehouse Engineer, where you'll manage and optimize data infrastructure, focusing on real-time and batch data integration. Lead a talented team to build efficient data products and drive smarter business decisions with advanced data techniques and analytics.

1、 构建并优化平台物流数据看板体系和数据分析体系，提升业务决策效率

2、深度分析看清业务问题、机会及破局点，协同横向优化

3、 联合数据团队,构建多维分析、离线建模可视化等分析工具

这是一份在金融服务行业中寻找主要数据工程师的职位，他将在技术部门中工作。该职位需要具备高级数据工程技术和强烈的责任心。

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.

• 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.

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.

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.

• 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

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。

1. 负责数据产品的全生命周期管理，从需求收集、分析、设计到产品上线及后续优化。与营销团队、销售团队、技术团队等跨部门紧密合作，深入挖掘业务场景中的数据需求，将业务需求转化为具体的数据产品功能和特性。

We are seeking a highly experienced Data Scientist to join our team at Luxury Brand Co. As a Data Scientist, you will play a pivotal role in driving data-driven decision-making across our luxury brand portfolio. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that will help us understand consumer behavior, optimize marketing strategies, and enhance customer experiences.

A well-known luxury company is seeking a Data Analyst to be primarily responsible for omnichannel sales business analysis, customer profiling, and post-campaign analysis of marketing activities, continuously providing data-driven insights for the business.

• UtilizeUtilize advanced data analysis, modelingmodeling, and machine learning techniques to develop predictive and prescriptive models that drive business outcomes.
• Develop and implement machine learning algorithms and artificial intelligence solutions to address complex business problems.
• Keep abreast of the new trends and technologies in data science to contribute to the development of innovative solutions.

Data Governance specialist - NDMO experience | Riyadh | Government Entity

Be responsible for centralizing data from full funnel including online business and marketing. You will also be repsonsible to develop data management strategies and coordinate data requirements from different departments

• 我们正在帮助一家全球知名的FMCG企业，招聘一位对技术有热衷和追求的全栈工程师，兼具前端和后端开发能力的，深入了解软件架构和工程标准方法论，尤其是用于处理大数据和大规模部署微服务的现代云计算栈，能够独立去解决整一条线前后端的问题

We are looking for an APP Product Owner for a foreign high-end hotel brand.

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

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。

我们正在寻找一位数据分析负责人，其核心职责是处理零售业相关的数据分析任务，并提供战略决策支持。