Top Data Analyst Jobs in Singapore

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

The Control and Metrics External Data Analyst will manage external data usage, oversee external data initiatives, and support the Chief Data Officer in implementing the Bank's data strategy.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Lead end-to-end delivery of enterprise data and analytics solutions for retail banking, spanning requirements analysis, solution design, testing, implementation, governance, and production support for ML/NLP-enabled and rule-based decisioning systems.

Lead techno-functional data solutions for Wholesale Banking, Retail, and Global Markets. Gather requirements, design/validate data models (Teradata FSDM, dimensional), profile and map data from core systems, author specifications, collaborate with architects and engineers, execute data validation tests, and provide data-driven insights for strategic decisions.

Lead functional business analysis for enterprise KYC/AML capabilities across Group Technology & Ops. Manage stakeholder relationships, define capabilities, translate business requirements into functional and non-functional requirements, oversee testing and scope control, support deployments and post-go-live knowledge transfer, and lead and develop a team of functional business analysts.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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.

Six-month full-time hybrid internship in Singapore supporting APAC data teams. Partner with stakeholders to define questions, clean and analyze data with SQL/Python/dbt, build Tableau dashboards and automated trackers, communicate insights to business leaders, and apply documentation, version control, peer review, and data quality checks.

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.

Gather and analyze business and risk requirements, produce functional designs for Market Risk systems, assess impacts, create test plans, execute UAT/regression/simulation tests, manage enhancement timelines, and provide BAU support including data sourcing, extraction, and analysis for market and liquidity risk data stores.

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.

Extract, clean, analyze and present operational data; build and maintain dashboards and performance reports; ensure data accuracy; provide actionable insights to stakeholders and collaborate on data-driven improvements.

Design and implement data-driven risk surveillance solutions for Consumer Financial Services covering Sales, AML and Operational risk. Build analytics, dashboards and automation using SQL, Python, Power Platform and GenAI; ensure model governance, data quality, documentation and compliance with regulatory expectations while supporting stakeholders and continuous improvement.

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 AML data science and analytics initiatives: perform strategic data analysis, statistical modeling on large datasets, consult with business stakeholders, drive system changes from requirements to implementation, improve data quality, and mentor junior staff while managing risk and compliance.

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.

Leads business data readiness for a data migration project, including requirements gathering, data cleansing coordination, quality issue tracking, stakeholder and customer communications, cutover planning, validation, hypercare, and audit-ready documentation. The role translates technical findings into business actions, coordinates UAT and readiness activities, supports transition and go-live stabilization, and manages risks, dependencies, approvals, and issue resolution across business and technical teams.