Top Data Jobs in Singapore

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.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

The FIM Specialist, Data Analyst (Manager) role involves data analytics, reporting, stakeholder engagement, and implementing enhancements to improve data quality within the bank's wealth management sector.

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

The APJ GTM expert will develop and implement country-specific go-to-market strategies for South Korea, Japan, and Singapore, focusing on lead quality and conversion through collaboration and AI-driven insights.

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

The role involves leading the Growth and Insights Department, analyzing data for strategic insights, and guiding a team to enhance customer engagement and optimize marketing campaigns.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

The Director of Data Engineering leads high-performing teams in creating scalable, secure, and resilient data architectures, integrating generative AI, and driving engineering excellence.

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

As a Product Manager for the Data Platform, you will collaborate with teams to define requirements, track metrics, improve data quality, and manage the product roadmap.

The Senior Data Scientist will deliver analytics solutions, develop scalable data products, and work on machine learning and statistical models to solve operational challenges.