Top Data Analyst Jobs in Singapore

Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.

Analyze financial and operational data for FP&A, maintain and build dashboards and data models, support budgeting and forecasting, investigate discrepancies, validate outputs, and automate recurring reporting processes. The role requires translating business requirements into reliable analytical logic and communicating insights to technical and non-technical stakeholders.

Transform and operationalize enterprise data governance through workflow automation and AI agents. Manage data quality, critical reports, critical data elements, metadata, issue management, and governance reporting. Develop and oversee automated workflows with human controls, partner with stakeholders across business and risk functions, and establish an enterprise ontology linking business concepts, data, processes, systems, and controls. Drive adoption of scalable governance practices and enable future AI use cases.

Analyzes and profiles customer, KYC, onboarding, and reference data for migration initiatives. Develops source-to-target mappings, transformation rules, validation criteria, and technical documentation. Validates ETL pipelines, executes testing and reconciliation, identifies anomalies, and supports data cleansing and issue resolution. Collaborates with business, compliance, governance, operations, and technology stakeholders to deliver data quality and transformation projects.

Own demand forecasting, supply planning, inventory buffers, wafer starts, assembly loads, and customer on-time delivery for semiconductor products. Collaborate with sales, finance, engineering, marketing, business operations, and external suppliers. Analyze demand and supply data, improve forecast accuracy, manage product transitions, coordinate corrective actions, and oversee vendor and internal project activities.

Supports pharmaceutical laboratory quality operations by developing Power BI and digital tools, analyzing equipment and inventory data, managing laboratory supplies and retain samples, coordinating calibration and maintenance, and ensuring cGMP, safety, 5S, and contractor-management compliance. The intern will collaborate with laboratory stakeholders, perform process improvements, and present data-driven recommendations to quality leadership.

Supports product managers with app roadmaps and UAT testing while analyzing user behavior and product performance. Collects and cleans data, builds dashboards and visualizations, conducts A/B testing, and delivers reports and actionable recommendations. Collaborates with customer support, user research, and UX teams to identify pain points and optimize app features and user experiences.

Lead data migration analysis projects involving data profiling, remediation, quality validation, test case execution, SIT and UAT support, and Power BI reporting. Coordinate project teams, validate data mappings and transformations, manage defects, document findings, and provide recommendations for KYC and CLM compliance. The role also includes project planning, stakeholder presentations, and support for business development initiatives.

Develops actionable portfolio insights using complex datasets, dashboards, reports, and advanced analytics. Builds and deploys machine learning models, collaborates on predictive and prescriptive analytics projects, and owns initiatives from requirements gathering through deployment. Maintains documentation, improves data quality, and supports analytical data warehouses and tools. Requires strong SQL, R, Python, visualization, communication, and quantitative analysis skills, with Google Cloud and corporate real estate knowledge preferred.

Partner with global teams to drive international expansion through experiments, data pipelines, dashboards, metrics, and actionable insights. Translate business goals into analytical frameworks, collaborate with product and engineering teams, and deliver reporting, recommendations, and self-service tools that improve stakeholder data literacy and support growth decisions.

Analyze financial data and payment flows, assess data quality and reconciliation accuracy, build production tooling and dashboards, automate compliance reporting, analyze costs, and collaborate with engineering, product, and finance stakeholders. Present findings, participate in technical reviews, and communicate project progress while learning unfamiliar systems and solving operational problems.

Build and manage complaints and customer-friction data assets, including sourcing, validation, transformation, data modeling, thematic analysis, monitoring, anomaly detection, dashboards, and management reporting. Identify emerging customer risks, dissatisfaction drivers, and escalation signals through advanced analytics. Partner with stakeholders to improve data quality, customer-outcome oversight, governance, and decision-making while communicating actionable insights to senior leaders.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Maintain controlled static and reference data for Treasury platforms and downstream trade-processing activities. Responsibilities include creating and validating records, performing maker-checker controls, investigating exceptions, maintaining audit trails, supporting data-quality reviews, and coordinating with Markets, Operations, Risk, Compliance, Finance, Technology, and external providers. The role also supports projects, testing, process improvements, automation, procedures, training, and business continuity while meeting service levels, operational controls, and regulatory requirements.

Implement and maintain data governance frameworks, policies, standards, and data quality controls. Support data ownership, stewardship, metadata management, lineage, regulatory compliance, governance forums, stakeholder engagement, training, audits, and enterprise data transformation initiatives for banking clients.

Analyze large datasets using SQL and Python, maintain recurring analyses and data products, perform quality checks, investigate discrepancies, and identify trends. Collaborate with Research, Engineering, and Product teams to resolve data issues, document findings, and improve analytical workflows through automation and AI tools. The role is designed for an early-career analyst who is detail-oriented, curious, and interested in using data to inform investment decisions.

Manage and govern the bank’s enterprise Power BI platform, including Microsoft Fabric capacity, workspaces, gateways, access controls, reporting standards, deployment, monitoring, and performance optimization. Lead Power BI development practices, SQL-based data integration, Python automation, Jenkins workflows, and release management. Partner with engineering, infrastructure, security, governance, vendors, and business stakeholders to deliver secure, scalable, compliant analytics solutions while mentoring developers and coordinating concurrent initiatives.

Analyze manufacturing, inventory, and supply chain data; monitor supply risks; support forecasting; review planning parameters and system compliance; present insights; build automated reports and dashboards; use AI tools to improve processes; and contribute to continuous improvement and digital transformation initiatives.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Designs Qlik Sense dashboards, reports, data models, and visualization solutions while building AWS-based data pipelines with Glue, S3, Redshift, and Athena. Partners with stakeholders to translate business needs into BI solutions, implements governance and access controls, manages the Qlik Sense environment, optimizes performance, supports UAT and adoption, and mentors team members. Requires strong SQL, dimensional modeling, data visualization, and BI security experience.

Analyze and visualize data, build complex SQL queries and data pipelines, and operationalize analytics workflows using Python, R, and BI tools. Develop end-to-end data-centric solutions aligned with customer objectives, strengthen problem-solving capabilities, and grow into a subject matter expert. Experience with cloud services, database development, statistical modeling, predictive analytics, machine learning, and analytics platform certifications is advantageous.

Develop and deploy AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partner with business, technology, data engineering, and data science stakeholders to define requirements, deliver use cases, and influence decisions. Guide teams on model selection, GenAI cost estimation, benefit realization, governance, privacy, and responsible AI. Maintain existing solutions, promote AI adoption, and oversee analytics work across risk departments.

Analyze customer and payment-message screening performance across DBS operating countries. Develop and backtest recommendations for detection rules, matching logic, thresholds, and risk scoring; evaluate risk coverage, false positives, data quality, and operational efficiency. Translate findings into requirements and test scenarios, support UAT and implementation validation, provide regulatory and audit evidence, and advise Compliance, Technology, Operations, and business stakeholders as a screening analytics subject matter expert.

Analyze e-commerce data across Reolink’s official website and Amazon platforms to generate insights, improve profitability and performance, and support product decisions. Build data pipelines, dashboards, APIs, and e-commerce metrics systems; validate data quality, investigate issues, and collaborate with product management, engineering, design, and data engineering teams to drive data-informed growth.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.