Top Data Analyst Jobs in Singapore

Lead large-scale payment data analyses to identify optimization opportunities and support A/B testing. Build scalable ETL pipelines, automation, and self-service analytics tools. Partner with product, data, and commercial teams to deliver actionable insights, mentor peers, and communicate results to technical and non-technical stakeholders.

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.

Six-month full-time undergraduate internship supporting APAC FreeWheel initiatives: build and maintain dashboards, deliver data-driven insights, support revenue tracking, collaborate with account managers and cross-functional teams for strategic planning and client business reviews.

Build and maintain BI dashboards, ETL pipelines, and automation to enable self-service insights. Write SQL, develop pipelines with Alteryx/UiPath/Python, monitor automations, support ML models, investigate data quality, gather requirements, and partner with regional teams to drive process improvements and operational efficiency.

Manage privacy operations including data subject rights (DSR) intake and responses, PIAs/DPIAs, RoPA/data inventories, vendor privacy reviews, privacy tooling, metrics, and incident support to maintain global privacy program compliance.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Analyze payment flows and network fees, translate network specifications into billing models, identify cost-saving opportunities, partner with engineering, product, and finance, maintain fee accuracy and alerts, document and scale operational processes, and educate stakeholders.

Support distribution & logistics team with data collection, analysis, and audits. Create templates, work with external partners, benchmark performance, audit freight documentation, assist monthly customs compliance reporting, generate management reports, and support SOP and project implementation.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Investigate transaction and financial data to detect anomalies, fraud, and risk exposures. Partner with Finance, Risk, Compliance to frame questions, produce trusted analytics, dashboards, and alerts, and help design and validate AI-driven monitoring and automated reporting. Improve data quality, metric definitions, and support automation of manual checks to ensure reliable financial reporting and risk controls.

Manage user acquisition and retention funnels; design, implement, track, and optimize multi-platform acquisition campaigns; own BI and CRM dashboards; measure marketing channel performance; run experiments to improve ROI; work in a small team and take ownership of growth projects.

Own the end-to-end analytics lifecycle: define measurement frameworks, build and maintain data pipelines and dashboards, analyze product/behavioural/model data, support experiment/A-B test design, ensure data quality, and communicate insights to influence product and model decisions.

Use large datasets to produce dashboards, reports and visualizations; identify trends and anomalies; perform statistical analysis and predictive modeling; collaborate with business units to translate needs into specifications and resolve data quality issues; communicate findings to non-technical stakeholders.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

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.

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.

Analyze operational, financial, maintenance, and resident feedback data to identify trends and service gaps. Develop and maintain dashboards and KPIs, automate reporting, improve data governance, and provide actionable insights to operations and management. Prepare presentations and support ad-hoc studies to inform strategic planning and enhance resident experience.

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.

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.

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.

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.

Develop, train, evaluate, and optimize machine learning and deep learning algorithms and models for audio/video surveillance. Perform data collection, preprocessing, feature engineering, and labeling. Integrate models into products, optimize inference on various platforms, research SOTA techniques, and document experiments and results.