Top Data Jobs in Singapore

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

The Data Analyst will develop frameworks to evaluate AI product performance, analyze unstructured data, and support product strategies through data-driven insights.

As a Data Analyst, you will focus on user behavior analytics, integrating sales data, and providing actionable insights to optimize subscription revenue and user engagement.

Design and develop data warehouse systems, optimize data processing, and collaborate with teams to deliver efficient data solutions.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

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

Lead data architects design modern data architectures, provide technical leadership, and guide teams to align with data strategies and project outcomes.

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

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.

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

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

Analyze international sectors and their data trends for Mi-Data Research. Responsibilities include data collection, analysis, and report preparation.

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

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

As a Digital eComm Intern, you will analyze eShop and Marketplace performance in APAC, providing insights and recommendations to improve metrics.

Analyze and visualize data to support supply chain decisions, automate ETL processes, and communicate insights using powerful tools.

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.

Lead and manage data migration projects, gathering requirements, coordinating teams, defining data mappings, and ensuring compliance through testing.

Lead data analysis projects, oversee data migration, ensure data quality, and manage project teams while collaborating with stakeholders.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.

As an Intern in Data & AI, you'll identify business challenges, propose analytics solutions, develop ML models, and create visual dashboards.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.