Top Data Analyst Jobs in Singapore

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.

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.

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 Growth Data Analyst will create dashboards, analyze data using SQL and Databricks, collaborate with teams, and develop models to enhance marketing strategies.

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.

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

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

The Staff Data Analyst is responsible for building data products, defining metrics, and collaborating with Sales and Customer Success teams, while leveraging AI for deeper analysis.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

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.

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.

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.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

Design, build, deploy and monitor statistical and ML models across the full lifecycle. Partner with business, engineering, and risk to translate problems into analytics, ensure production-grade pipelines, mentor junior staff, and uphold data quality and responsible AI practices.

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.

The Senior Data Compliance Analyst is responsible for designing product frameworks for data compliance, monitoring regulations, translating legal requirements into product specifications, and ensuring the upkeep and optimization of compliance products while liaising with cross-functional teams.