Data职位招聘信息

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.

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.

• 我们正在帮助一家行业龙头企业招聘一位Data Architect，负责企业数据架构设计与优化，直接汇报CIO
• 期望你精通数据架构设计，能够根据业务需求设计高效、可扩展的数据架构模型，具备数据仓库、数据湖等架构设计和实施经验。

This role involves managing and optimising data pipelines to ensure efficient data operations within the FMCG industry. The ideal candidate will work on data integration and analytics projects to support business objectives in Shanghai.

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

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.

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

The Data Lead will oversee data strategies, ensuring seamless integration and optimisation across the organisation's technology landscape. This role is pivotal in driving data-driven decision-making in the FMCG industry.

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.

• 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

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.

This role is responsible for integrating and analysing data from multiple channels including retail, e-commerce, and membership, delivering actionable insights to support strategic decision-making. The ideal candidate should possess strong analytically capabilities and business acumen, thriving in a fast-paced environment.

• 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

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；

作为专注于数据合规领域的法务总监，您将主导海外数据合规体系的搭建和完善，并领导大型跨境项目的推动和落地。

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。

This is an exciting opportunity for a Data Product Manager in the retail industry to lead data-driven initiatives and optimise product performance.

As the company's business expands rapidly, we are looking for a Data Product Requirements Analyst to help further optimise and enhance our data processing capabilities.