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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.
1. Led data science initiatives across multiple business units (Buying, Finance, Clienteling, Digital) to support commercial decision-making through predictive modeling and customer analytics2. 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.
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
Job Responsibilities:
A FMCG company is seeking a data analyst role
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.
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;
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。
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.
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。
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
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