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.

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.

• 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

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.

The AI Director will lead and oversee the development and implementation of artificial intelligence strategies and technologies within the business services industry. This role requires expertise in technology leadership, innovation, and strategic planning to drive organisational success.

Data Strategy & Data Governance Leadership

· Define and maintain the APAC Data Strategy (architecture principles, governance model, standards, KPIs).

· Ensure data quality, privacy, and governance standards across all digital initiatives.

· Drive the alignment with ITD on data architecture, pipelines, integration, and security.

• 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

This is an exciting opportunity for a skilled Data Analyst to join the Energy & Natural Resources industry in Shanghai. The successful candidate will play a key role in managing, analysing, and interpreting data to support informed decision-making.

该职位负责领导人工智能和数据分析团队，为工业/制造业领域的技术部门提供创新解决方案。理想的候选人需具备相关技术知识和管理能力，推动组织在数据驱动决策中的发展。

This exciting Data Support role in the Energy & Natural Resources industry is perfect for an individual with a keen eye for detail and a passion for analytics. Based in Shanghai, you will provide essential support to the analytics department, helping to drive data-driven decisions and optimise business performance.

• 该岗位负责推进集团财务预算系统及相关数据项目，
• 角色重点在于推动标准系统落地后的数据建模与分析能力建设，确保系统真正服务业务和管理决策

We are seeking an experienced AI & Data Architect to join a global fintech organization within the financial services sector. This role will act as a Principal Architect, owning the AI and data architecture strategy for large‑scale, enterprise‑grade platforms, and driving the design and delivery of intelligent data and AI solutions across multiple business domains.

• 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.

数据工程师职位主要负责处理和管理数据相关的任务，确保数据的准确性和一致性。候选人需要具备数据分析和数据处理的相关技能，以支持分析部门的工作。

Data Governance specialist - NDMO experience | Riyadh | Government Entity

解决方案销售职位主要负责推动公司的业务发展。该职位需要深入了解客户需求，为客户提供专业的解决方案和服务。

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；

我们正在招聘一位首席数据工程师，负责在统一的数据平台上构建和优化大规模数据管道和数据基础设施。该岗位将同时参与批处理和实时流处理场景，并与平台、框架及分析团队紧密合作，为业务和分析场景提供高质量、可治理的数据能力。

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。