Top Data Analyst Jobs in Kuala Lumpur

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Monitor customer service KPIs, analyze data for insights, optimize systems, support AI tools, and collaborate with teams for reporting and improvements.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

Support data consolidation, cleaning, and analysis to identify trends and anomalies. Generate actionable insights and deliver clear presentations and reports using Google Sheets, Slides, and Docs to inform business decisions.

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.

Support data collection, cleaning, validation, and exploratory analysis. Help build and maintain dashboards and reports, collaborate with teams to deliver insights, and contribute to data-driven process improvements.

Analyze business requirements, lead data mapping and source-to-target transformations, develop and optimize complex SQL queries, define data quality controls, support UAT and testing, prepare documentation, and coordinate stakeholders to ensure accurate data integration and reporting for banking projects.

Compile and verify payment data from reporting entities, ensure regulatory reporting compliance, perform statistical analysis, impute missing values and forecast trends, develop business/functional requirements and test data platforms, generate insights and thematic write-ups for stakeholders, provide advisory, and coach support staff.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Lead growth and commercial analytics for lending: build LTV and segmentation frameworks, analyze acquisition and retention, define KPIs, generate insights, and partner with Sales, Marketing, and Product to inform investment decisions.

Own and deliver portfolio and credit risk analytics and reporting, including delinquency, vintage, concentration, provisioning, macro-to-portfolio analysis, segmentation and stress tests; partner with Risk, Credit, Data Science, Finance and Engineering to align metrics and present actionable insights to leadership.