Top Data Analyst Jobs in Singapore

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.

Gather and analyze business and risk requirements for Market Risk systems; create functional specifications, assess impacts, design test plans, conduct UAT and other testing, manage enhancement timelines, and provide BAU support for risk data sourcing, extraction, and analysis.

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.

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.

Leads cross-functional special projects involving air network planning, scheduling, airline partner performance, and operational analytics. Develops optimization models, analytical frameworks, automation tools, scripts, and lightweight products to improve routing, capacity allocation, scheduling efficiency, and planning workflows. Partners with engineers, operations teams, and management to implement solutions, establish best practices, and scale innovative approaches across the organization.

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.

Lead business analysis for an AI and data transformation initiative in banking. Define and improve data enablement processes, translate business and technical requirements, support reusable data products, and address data discovery, governance, quality, lineage, and risk. Coordinate business, data, AI/ML, technology, and risk stakeholders while managing scope, priorities, dependencies, timelines, and delivery blockers. Senior hires lead complex workstreams and contribute to target-state roadmaps.

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.

Analyze and reconcile financial data, investigate discrepancies, trace data origins, and automate manual validation checks using SQL and Python. Build and maintain Finance dashboards, document datasets, and make missing or inconsistent data visible. The role involves production data, reporting pipelines, version control, review processes, and clear communication of findings. No professional experience is required, but candidates should be numerate, detail-oriented, comfortable questioning data, and able to explain technical discrepancies clearly.

Supports the IT PMO by maintaining Power BI dashboards, validating data, analyzing project portfolio trends, and translating findings into management insights. The role improves PMO reporting processes, collaborates on dashboard requirements, and manages the PMO homepage and communications mailbox. It requires strong analytical, communication, organizational, and process-improvement skills, with experience in business intelligence, project reporting, or PMO support.

Leads data migration and analysis projects for KYC and CLM platforms. Gathers requirements, documents business rules and data mappings, analyzes data quality and lineage, defines cleansing and transformation rules, and validates migration results through SIT and reconciliation. Coordinates business, technical, QA, and project stakeholders; tracks defects, risks, remediation, and traceability. Supports project planning, client presentations, team leadership, and business development.

Develops Microsoft 365 and Power Platform solutions, dashboards, reports, workflows, integrations, and data visualizations for legal investigations and litigation. Supports internal investigations through open-source research, forensic data review, information analysis, and government inquiry support. Partners with Legal, Compliance, Audit, Information Security, and Technology teams while ensuring privacy, cybersecurity, governance, and stakeholder requirements are met.

Leads functional business analysis for enterprise compliance technology initiatives covering KYC, AML, sanctions, anti-bribery, and fraud workflows. The role defines business and technical requirements, target processes, roadmaps, testing strategies, scope changes, governance, and deployment plans. It manages senior stakeholders, risks, funding alignment, and post-go-live knowledge transfer while leading and developing a team of functional business analysts.

Supports AI and data governance by managing model access, auditing permissions and compliance processes, documenting governance activities, monitoring models, developing awareness training, tracking regulatory trends, and preparing governance reports. Collaborates with IT and business teams to ensure AI and data models follow security protocols, data protection laws, and internal policies.