Top Data Jobs in Singapore

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

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

The role involves collecting and analyzing data related to user behavior and product performance, assisting in creating reports and dashboards, and supporting A/B testing efforts.

Join Iron Mountain as a Data Processing Specialist, contributing to records management and digital transformation for diverse customers. Enhance your skills in a supportive culture.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

The Data Engineer will design data pipelines, create data models, and harmonize data for business insights while collaborating with teams to ensure solutions fit architectural requirements.

As a Frontend Software Engineer at Feedzai, you'll develop the Orchestration product, focusing on data orchestration for non-technical users, collaborating in an Agile team, and promoting code quality and architecture ownership.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The SAP Enterprise Consultant designs and implements SAP solutions, customizes systems, troubleshoots issues, and trains users to enhance productivity and support business operations.

The SuccessFactors Architect designs, implements, and optimizes SAP SuccessFactors solutions, collaborating with HR and IT teams to meet business objectives.

The Senior Information Systems Engineer ensures effective IT support and maintenance of systems, focusing on installation, troubleshooting, and management of enterprise-level IT services.

The DevSecOps Engineer will integrate security into the development lifecycle, automate security checks, collaborate on secure infrastructure, conduct assessments, and monitor security incidents.

The Finance Compensation Data Specialist will manage compensation data reports, analyze data for business insights, and ensure compliance in financial operations.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

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.

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.

Design and maintain ETL/ELT processes, data pipelines, and dashboards while ensuring data quality. Collaborate with stakeholders to meet data needs.

Drive market success for Workday's Open Platform products by leading sales cycles, educating C-suite executives, and implementing adoption strategies for AI technologies.

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 Development Advisory Lead provides senior advisory input on feasibility, asset surveys, and due diligence for data centers, promoting quality standards and business growth.

Assist in smart manufacturing projects focusing on automation and digital solutions. Involves data collection, analysis, and creating dashboards. Gain insights into production and operational excellence.

As a Digital Data Analytics Intern, you will support data scientists and manage operational data to build predictive models. Responsibilities include developing dashboards and participating in business use cases with engineers and chemists.

Lead the Growth and Insights Department, performing advanced data analysis, translating insights into business strategies, and mentoring a high-performing team.