Top Data Jobs in Singapore

The Marketing Manager will oversee regional marketing initiatives in the APAC region, focusing on planning, execution, and vendor communication, especially in China.

The Data Science Internship involves modeling, AI innovation, data integration, and technical development while collaborating across teams to deliver insights and solutions in commodity trading.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

Support product managers in app testing, analyze user behavior data, create reports, conduct A/B testing, and improve app features based on user insights.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

The Data Analyst will transform business goals into technical logic for BI, design reports, guide users in data interpretation, and develop frameworks for growth and profitability.

As a Global Client Manager, you will build and manage client relationships, ensuring satisfaction and driving sales growth using strategic planning and Salesforce tools.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.

The Vice President, Data Stewardship and Enforcements will oversee data governance initiatives, collaborate across teams, drive data governance maturity, and manage compliance and risk assessments.

The Senior Client Manager manages and grows public sector accounts, driving expansion and renewals while coordinating with stakeholders and leveraging company tools for client satisfaction and revenue generation.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

The Capital Markets Manager supports debt financing transactions, collaborates with finance teams, and monitors market conditions to aid capital planning and compliance.

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.

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 AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

Lead and manage end-to-end data project delivery, overseeing project scope, timelines, resources, and stakeholder communications while ensuring successful execution of data-driven initiatives.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.

Develop and deploy analytics and predictive models to improve logistics operations. Lead cross-functional initiatives, providing insights and fostering data-driven decision-making.

The role involves managing planogram optimization and syndicated data for APAC, executing projects, providing analytical insights, and training teams.

As a Principal Transformation Consultant, you'll advise clients, lead workshops, and drive business transformation using deep industry knowledge and innovative solutions.

The Senior Data Engineer develops and maintains scalable data infrastructure and pipelines, ensuring data quality and accessibility for data-driven decision-making.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

The Data Engineer Intern will design and implement data pipelines, build data models, optimize workflows using dbt Cloud, and contribute to AI initiatives while collaborating with stakeholders to resolve data issues.

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

The intern will assist in data collection, preparation, and basic analysis, while supporting dashboard development and documentation for analytics processes.