Top Data Analyst Jobs in Singapore

The Analyst, Data Client Services supports Aladdin users with investment related inquiries, collaborates on projects, and enhances systems for efficiency while maintaining strong client relationships.

The Data Analyst II will resolve complex data issues, create visualizations, analyze datasets, ensure data quality, and support data infrastructure needs.

As a Senior Data Analyst, you will analyze data to identify trends, improve partner performance, and support decision-making across teams, while collaborating with Business Development and Customer Experience.

The intern will support data management and market analytics in the chemical industry, contributing to forecasts and process improvements while collaborating with a global team.

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.

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

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

Analyze customer service performance, validate customer service signals, build dashboards, and partner with stakeholders for data-informed decisions.

Analyze DTC & sales performance, design measurement plans, maintain dashboards, and collaborate with teams to drive data-informed decisions.

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

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

The role involves leading AI integration, data analysis, and collaboration with stakeholders while mentoring junior analysts and optimizing business processes.

The Data Management Analyst supports data management initiatives, performs data validation and reconciliation, and collaborates with stakeholders for data quality and governance.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

The VP, Lead Functional Business Analyst will manage stakeholder relationships, oversee requirements analysis, and lead a team of business analysts focusing on AML and KYC processes within the bank.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

As a Data Specialist, you'll manage data products, ensuring accuracy and generating insights for institutional investors. You'll also enhance your programming skills using Python and SQL.

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

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.