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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
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: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
我们的客户是中心的电讯服务供应商,紧贴"新基建"发展,需要招一名北方区销售总监(工作地点北京/大连/哈尔滨均可),带领团队更好地发展业务。
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:
管理营销中心 数据和系统
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
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.
参与大客户发展战略的制定,实施有效的销售策略,深度介入大客户公司业务的拓展,成为大客户在热管理&冷却系统方面的专家顾问,实现大客户业务可持续的发展,完成公司设定的销售目标
Data Governance specialist - NDMO experience | Riyadh | Government Entity
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.
具备多年大数据行业的相关销售经验开拓维护国家部委、地方政府等软件销售业务
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.
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