Top Data Jobs in Singapore

The Talent Acquisition Partner supports recruitment processes, collaborates with managers, improves talent acquisition practices, and engages in strategic projects related to hiring. They manage sourcing, onboarding, and data analysis for recruitment metrics.

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

The Director, Sales & Solutions Engineering drives technical solution development and execution, supports sales activities, and coordinates proposals to meet customer needs.

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.

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

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.

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

As a Senior Associate Client Project Manager, you will lead client projects, manage stakeholder interfaces, and ensure project delivery meets quality and budget criteria while supporting client satisfaction.

The Customer Success Manager will onboard customers, drive success, manage operations, and act as a liaison with engineering and support teams.

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.

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

Lead management and technical planning of OKX's Web3 Data Platform, overseeing data processing, governance, and solutions for business growth.

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

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 Analyst will analyze user behavior and product metrics, collaborate with cross-functional teams, develop dashboards, and improve data quality to support growth initiatives.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

The PMO Manager oversees the PMO practice, establishes standards and methodologies, manages project performance, and collaborates on resource and risk management to ensure timely project delivery.

As a Data Engineer, you will design and implement data processing pipelines, collaborate with data scientists, ensure data quality, and manage data architecture.

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

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.