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.

Leads enterprise analytics solutions across business, product, finance, marketing, and technology. Responsibilities include developing data models, metric definitions, pipelines, dashboards, experimentation frameworks, and executive data narratives; diagnosing data and system issues; standardizing metrics; applying advanced analytics and AI tools; mentoring analysts; and establishing analytics best practices.

Develop and apply data analysis, financial reporting, dashboards, automation, and client portal solutions for legal project management in Asia. The role handles complex financial and operational data, creates Excel and Power BI reporting, supports legal service delivery, and provides data-led insights to lawyers, finance teams, technology teams, and senior LPM stakeholders. It also contributes to AI, legal technology, workflow automation, and client-facing collaboration platforms.

Build and maintain Tableau dashboards, write Databricks SQL, troubleshoot and automate data pipelines, and develop analytical models for growth, marketing, acquisition, campaign ROI, and customer lifecycle decisions. Partner with growth, product, engineering, vendors, and leadership to deliver reliable data-driven insights and solutions. Apply statistical techniques and emerging AI tools to identify trends and optimize marketing strategies.

Analyze social media performance, audience behavior, sentiment, trends, competitors, and campaign data for a tourism and leisure brand. Manage analytics tools, maintain real-time dashboards, identify optimization opportunities, and translate complex findings into clear reports and recommendations for creative and strategic teams.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify performance losses and improvement opportunities. Builds dashboards and reports, validates data, performs statistical and root-cause analysis, supports predictive analytics, and communicates findings to operational and technical stakeholders. The role also supports testing, deployment, user adoption, documentation, and continuous improvement of analytics solutions across manufacturing value streams.

Analyze customer, product, and campaign data to support growth, marketing, and product decisions. Responsibilities include defining metrics, validating data, maintaining analytical datasets, building Power BI dashboards and scorecards, analyzing funnels, cohorts, attribution, lift, and retention, investigating data discrepancies, and translating findings into actionable recommendations. The role also involves collaborating with stakeholders and using AI tools to improve analytical workflows.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Lead data migration analysis projects involving source and target data profiling, remediation, quality checks, SQL validation, test case design, SIT and UAT validation, and Power BI dashboard development. Collaborate with business analysts, architects, developers, and QA teams to validate mappings, transformations, defects, and regulatory compliance for KYC and CLM initiatives. Coordinate project teams, maintain documentation, provide recommendations, and support client proposals and business development.

Develops and deploys AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partners with business, risk, data engineering, data science, and technology teams to translate business needs into measurable outcomes. Guides model selection, GenAI cost estimation, benefit realization, responsible AI, data governance, and regulatory compliance while promoting an AI-enabled culture.

Supports APAC service growth initiatives through data analysis, machine learning models, revenue forecasting, capacity planning, and Power BI dashboard development. Performs SQL and Power Query ETL, data modeling, visualization, and reporting while contributing to program management, cadence planning, impact tracking, and problem solving.

Supports APAC service growth initiatives by analyzing business operations, regional trends, revenue forecasts, and capacity planning. Builds machine learning models, Power BI dashboards, DAX measures, and ETL workflows using SQL and Power Query. Translates business requirements into visualizations and reports, ensures data accuracy, communicates insights, and assists with program management planning and problem-solving.

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.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify improvement opportunities. Develops dashboards, analytical models, metrics, and decision-support tools; validates data and supports deployment, adoption, and scaling across manufacturing sites. Partners with engineers, data specialists, and operational leaders to translate problems into actionable insights, facilitate continuous improvement, and support predictive and prescriptive analytics initiatives.

Analyze casino operations, product and area performance, manpower efficiency, and dealer performance. Apply advanced analytics, modeling, and machine learning to optimize gaming floors, forecast demand, schedule manpower, and evaluate risk. Build dashboards, reports, analytical tools, and A/B tests; translate insights into business strategies; evaluate revenue impacts; and collaborate with Operations, Marketing, BI, data warehouse, IT, and smart IR teams.

Develop and implement AI/ML and Generative AI proof-of-concept solutions, including data processing, model training, deployment, experimentation, and algorithm optimization. Collaborate with business, technology, and engineering teams to integrate scalable solutions into existing platforms. Apply deep learning, NLP, and large language model techniques to address business challenges, translate real-world problems into data science solutions, and contribute to technical knowledge sharing.

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. Coordinates business, technical, QA, and architecture stakeholders; tracks defects, remediation, risks, and project progress. Supports project planning, client presentations, stakeholder management, and business development.

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.

Leads data-driven analysis and transformation initiatives across business units. The role analyzes complex customer and operational datasets, develops models, experiments, simulations, campaigns, and dashboards, and presents actionable insights to stakeholders and senior leadership. It partners with product owners and cross-functional teams to optimize journeys, improve efficiency, support strategic decisions, and maximize data value.

Senior Data Analyst responsible for strategic analytics supporting quick commerce across 16 markets. The role develops causal impact models, ROI measurements, SQL data models, dashboards, and AI-powered analytical workflows. It partners with senior operations, supply chain, and commercial stakeholders, provides actionable recommendations, defines measurement frameworks, and mentors junior analysts. The position also drives automation, anomaly detection, root-cause analysis agents, and LLM-assisted insight generation.