Top Data Jobs in Singapore

The Senior Global FP&A Specialist gathers and analyzes financial data to aid decision-making, drives forecasting, and collaborates with stakeholders to enhance financial processes and reports.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Portfolio Data Analyst will gather and track investment data, monitor financial statements, process capital calls, and collaborate across departments to support operational tasks.

Responsible for overseeing procurement service delivery, developing procurement strategy, managing vendor relations, and providing insights for commercial decision-making.

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

The Client Project Manager oversees and directs multiple projects, ensuring client satisfaction, managing stakeholder communication, and delivering projects on time and budget.

Manage and support a large user environment, configuring Intune and Microsoft Endpoint Manager services, ensuring device security and compliance, and collaborating with security teams.

Lead engagement with strategic customers in Asia Pacific, manage account strategy, drive growth initiatives, and oversee sales targets within the Data Center segment.

Lead engagement with strategic customers in Asia Pacific, driving growth strategies, managing accounts, and delivering on sales targets in the Data Center segment.

The role involves providing expertise in enterprise applications, engaging clients, designing solutions, managing projects, and executing tests.

The role involves managing data architecture, optimizing analytics and compliance systems, and collaborating to enhance AML processes within financial operations.

The intern will build data pipelines, orchestrate workflows, model data, and collaborate for data discovery, gaining exposure to modern data and AI technologies.

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.

Oversee and manage client projects, ensuring they are delivered on time and within budget. Engage with stakeholders, manage client satisfaction, and support pre-sales activities by preparing proposals and scoping projects.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

The Sr Manager, Data Engineering leads complex projects, develops advanced data architectures, ensures data governance, and mentors the data engineering team.

The Senior ETL Engineer will lead data engineering in the APAC region, ensuring standardized, scalable data practices and managing local data systems.

The Research Editor role involves creating, updating, and managing compliance data profiles, conducting research, maintaining workflows, and responding to client inquiries while requiring fluency in English and Chinese.

The Client Manager will build client relationships, manage accounts, drive sales growth, and ensure client satisfaction using Salesforce.com and strategic planning.

The Data Engineering Product Specialist leads product adoption strategies, guides customers on data engineering architecture, and presents Databricks solutions while collaborating with cross-functional teams to enhance market position.

The Senior Data Analyst will develop and deliver analytical solutions, support data-driven business decisions, and maintain documentation of analytics initiatives.

As a Business Data Analyst, you'll deliver data insights, design ETL processes, ensure data quality, and collaborate with stakeholders on data queries.

Lead the Underwriting Disruption project by integrating advanced data analytics and technology into insurance underwriting operations, enhancing predictive capabilities and streamlining processes through strategic leadership and cross-functional collaboration.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.