Top Data Analyst Jobs in Singapore

Supports APAC data governance and data quality management activities across banking operations. Responsibilities include maintaining governance documentation, coordinating working groups, monitoring and analyzing data quality, investigating exceptions, tracking remediation, preparing management reports, and engaging regional and global stakeholders. The role also contributes to process improvement, reporting automation, testing, and AI-enabled initiatives.

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 Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.

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.

Maintain, design, and enhance the Group AI and model inventory system to support AI governance. Implement process improvements, integrate automation, collaborate with model owners, risk, compliance, IT and external reviewers, and drive future-state system implementation and regulatory compliance for Generative and Agentic AI models.

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

Lead ETL, data processing, and analysis to generate actionable market intelligence for maritime clients. Build forecasting models, maintain dashboards and reports, support commercial desks with real-time insights, and present findings to stakeholders.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Lead company-wide performance intelligence: build central dashboards and KPI frameworks, produce executive reports, run deep metric analyses (P&L, funnels, retention), create forecasts and ROI models, and design self-serve data infrastructure and automation to guide strategic decisions and resource allocation.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.

Lead analytics for quick commerce growth across markets: design causal impact and ROI measurement, build BigQuery/dbt SQL models, produce dashboards and agentic AI solutions, influence senior stakeholders, and mentor junior analysts.

Analyze casino operations and product performance, build models and ML solutions for floor optimization, demand forecasting and manpower scheduling, create dashboards and A/B tests, collaborate with Operations, Marketing, BI, and IT to translate analytics into business strategy and operational improvements.

Own commercial analytics and analytics engineering: translate business questions into structured analysis, build trusted dbt datasets and semantic metrics, create decision-ready dashboards, improve data quality, and partner with Commercial, Pay/Risk, Marketing, and Finance to drive business outcomes.

Manage the operational lifecycle of corporate actions and security master/reference data across global markets. Monitor, research, assess, and process corporate action events; maintain and validate reference data; resolve exceptions and control breaks; partner with trading, investment, custodians, vendors, and technology; support projects, testing, automation, and process improvements; and coach or review work of other associates to mitigate operational risk.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

The Senior Associate Data Centre Operations Analyst designs, analyzes, and maintains critical infrastructure systems, ensuring optimal functionality and compliance with safety standards in data center environments.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.