Top Data Analyst Jobs in Kuala Lumpur

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

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.

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 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.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.

Support APAC Claims Operations by producing and automating reports, reconciling multi-system data, resolving quality issues, and developing scalable dashboards. Build SQL queries, Python automation workflows, data validation processes, and documentation. Deliver ad hoc analysis and leadership insights while piloting AI applications such as claims classification, anomaly detection, document summarization, and natural-language querying. Partner across markets to improve reporting efficiency, data quality, and operational decision-making.

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.

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.