Top Data Jobs in Singapore

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

Drive revenue and exceed targets through business development, strategizing, client engagement, presentations, and managing contracts while collaborating with cross-functional teams.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The Master Data Manager will lead data governance and stewardship in supply chain planning, ensuring data accuracy and quality management. They will collaborate with cross-functional teams to implement data solutions and drive business transformation through effective data management practices.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Data Steward manages data governance, quality, and analytics for the site's master and transactional data, ensuring compliance and driving operational excellence through data insights and digital solutions.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

Lead the design and development of Data Vault data models while providing architectural guidance and mentoring offshore teams. Ensure data governance and collaborate with stakeholders to improve data quality.

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

Install and upgrade database systems, manage access and backups, diagnose errors, ensure compliance, and support database operations. Develop solutions and automate processes to enhance performance and reliability.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Digital eComm Intern, you will analyze eShop and Marketplace performance in APAC, providing insights and recommendations to improve metrics.

The Data Integrity Expert ensures compliance with data integrity regulations, oversees inspections, conducts data quality checks, and leads training programs while implementing risk mitigation strategies.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

The Data Scientist in SMAI OI will design AI solutions for scheduling and simulation, enhance manufacturing performance, and collaborate globally for continuous improvement.

The Senior Manager in Data Science will lead initiatives in smart manufacturing, applying advanced data science methodologies to enhance operational efficiency and business impact.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

Design and develop advanced Reinforcement Learning (RL) solutions for gaming, optimizing agent performance, and collaborating with engineers and developers.