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.

Lead large-scale payment data analyses to identify optimization opportunities, design scalable ETL and automation pipelines, run A/B tests, build dashboards, and collaborate with product and commercial teams to deliver actionable insights that drive merchant growth.

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.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

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.

Analyze transaction and account data to detect card fraud, money mule networks, and suspicious cashflows; build models and dashboards for collections and lending products; automate reporting; support CBS submissions, regulatory reporting and cross-functional stakeholders to improve risk mitigation and collection effectiveness.

Work with trading, operations, and reporting teams to identify and prioritize data quality and operational issues. Build SQL/Python-based data solutions and dashboards, perform root-cause analyses, implement fixes, and support scaling and documentation while aligning to controls and stakeholder requirements.

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.

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.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

Collect, analyze and interpret complex data to produce insights, forecasts, and reports. Build and maintain Salesforce dashboards and BI visualizations, conduct data quality checks, develop data governance, and support stakeholders through training and workshops. Use statistical modelling and AI tools to automate reporting and improve decision-making.

Lead partner-focused analytics for APAC: investigate conversion, churn, and payment-funnel issues; analyse large operational datasets; build dashboards and automated reports; perform root-cause analysis; collaborate with commercial teams and external partners; apply analytics engineering and emerging AI tools to improve partner outcomes.

Build and maintain dashboards tracking activation, retention, task success, and agent reliability; analyze agent run data to locate failures and stalls; design instrumentation and metrics; support experiment design and readouts; produce reproducible analyses and actionable recommendations for product and engineering.

Design, build, and maintain the Consumer Banking Singapore DataMart; extract, clean and analyze data; create dashboards and automated reports; support stakeholders with insights, decision support, and data-driven business cases; document data catalog and improve data processes.

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.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.