Top Data Jobs in Singapore

The Legal Counsel, APAC is responsible for handling legal transactions related to site selection and property acquisition, coordinating with stakeholders, and providing legal advice to support business objectives.

As a Software Technology Sales Specialist, you will drive software sales, identify opportunities, and collaborate with client managers to optimize sales strategies and solutions.

The Enterprise Applications Consultant will drive technical excellence and innovation, solve diverse problems, and enhance relationships with stakeholders while independently achieving targets.

Design and improve user experiences for on-chain data products at CoinMarketCap, collaborating with cross-functional teams and optimizing product designs.

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

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

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.

Manage analytics projects, innovate using VisaNet and non-traditional data, enhance analytic techniques, and collaborate across teams to develop solutions.

The Regional Industries Sales Manager SEA supports APAC Vertical Leads to drive sales in the South East Asia Market, focusing on the Data Centre, Education, Retail & Hotels Sectors. The role involves identifying client leads, developing sales strategies, and collaborating with various teams to achieve revenue growth.

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

The Principal Data Consultant will lead the Data Quality practice, manage the Data Lakehouse's operations, and engage with stakeholders to ensure data integrity and strategic alignment.

The Revenue Operations Manager will oversee sales operations, forecasting, pipeline management, and analytics, driving continuous improvement to maximize revenue within the organization.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

As a Business Development Manager, you will drive growth through strategy, client relationship building, and market analysis. You'll leverage insights to tailor solutions for clients in the financial services sector.

As a Data Analyst, you'll analyze patterns, provide insights, track KPIs, and develop dashboards to improve service delivery and customer experience.

The Transaction Director leads a team in managing real estate transactions for data centers across APAC, ensuring successful site acquisitions and collaboration with stakeholders.

The Data Engineer will design, build, and maintain data systems and pipelines, collaborate with teams, and ensure data quality for analytics.

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 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.

Monitor compliance with customer experience standards, analyze data for insights, drive corrective measures, and collaborate with teams to enhance service delivery in financial services.

As a Data Analysis Specialist, perform data mining, maintain databases, generate reports, troubleshoot Spotfire tools, and support process improvements.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Assist with statistical analysis, data modeling, and preparing reports. Interpret industry data and support compliance with data security protocols.

This internship involves supporting data collection, AI solution development, stakeholder collaboration, and ensuring product readiness through testing and documentation.