Top Data Analyst Jobs in Malaysia

Lead LLM-focused data science work: analyze large datasets, build statistical models, design and deploy LLM/agentic applications, perform prompt engineering and model fine-tuning (RAG), and collaborate with global teams to deliver AI-driven business solutions.

Deliver and reconcile integrated financial and operational data, produce reports and interactive dashboards, perform financial and scenario analytics, automate reporting, maintain data governance and documentation, and translate insights for Finance stakeholders to drive process improvements and operational efficiency.

The Risk Data Analyst I will manage customer data, analyze fraud patterns, use statistical methods for insights, and support tool onboarding.

The role involves designing, developing, and maintaining Power BI solutions, transforming data into actionable insights, and collaborating with stakeholders to ensure data accuracy and effective reporting.

The AML Assurance Data Analyst will develop data analytics solutions for improving AML compliance, analyzing transaction data, and creating reports, while collaborating with different teams.

Analyze country/cluster data to identify quality escapes, perform RCA, track KPIs, and create data-driven business cases. Lead continuous improvement projects, standardize BAU processes, develop policies and procedures, run problem-solving workshops, and collaborate with Process Engineers, BAU Leads, and Global teams. Apply AI concepts to streamline operations and improve efficiency.

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

Job description excerpt contains only company information. Title indicates a senior data analyst / assistant data manager role likely focused on analyzing research data, producing reports and insights, maintaining datasets, and supporting data management processes, but specific responsibilities were not provided.

The Senior Data Analyst in Commercial Analytics drives data-driven decision-making by delivering advanced analytics, actionable insights, and building data assets, while collaborating with commercial teams for performance tracking and reporting.

The AI Data Analyst at Brooks interprets and manages data, influences AI solutions, supports development of AI models, and collaborates on strategies across teams.

The role involves analyzing energy usage and sustainability practices, developing data analytics tools, and supporting energy performance forecasting while ensuring regulatory compliance and operational efficiency.

The Data Infrastructure Analyst develops, migrates, and validates credit risk data for reporting and regulatory needs. The role emphasizes automation for efficiency and collaborates with stakeholders to ensure data accuracy and governance.

The Data Operations Analyst supports client deliverables, data validation, and process improvement in a multi-cultural environment, focusing on the Korea market.

Manage customer master data and transactional fields in SAP to support Order-to-Cash processes. Maintain pricing, contracts, and commercial conditions, ensure data quality and governance, perform data cleansing, liaise with stakeholders, support export flow checks, and contribute to continuous improvement and project work to optimize order, billing, and collections operations.

Lead process optimization, system enhancements, and SOP compliance for data operations. Design and document production processes, deliver training, resolve technical issues, drive automation and continuous improvement, and act as SME and primary contact across countries and stakeholders.

Maintain accuracy, integrity, and confidentiality of HR data across HRIS platforms. Manage HR service requests to SLAs, perform data audits, deliver reports and analytics, support data migrations and UAT, ensure compliance with data privacy regulations, and drive continuous process improvements and documentation.

The Sales Analyst - Data Management supports sales operations with a focus on data management, governance, and analytics, ensuring data accuracy and security for decision-making.

As a Senior Data Analyst, you'll analyze risk and fraud issues, mentor junior analysts, and deliver actionable insights to improve business performance across markets.

Serve as primary contact for input validation and data operations, manage end-to-end data inquiries, perform data handling, validation, and analytics, maintain database understanding and production reports, support project implementation, and coordinate internal stakeholders to ensure accurate and timely deliverables.

The Associate Customer Data Operations Analyst will manage customer data in Salesforce, ensuring data accuracy, overseeing integration with third-party platforms, and participating in automation initiatives.

The Senior Marketing Data Analyst will use advanced analytics to influence marketing strategies across 16 markets, mentor junior analysts, and leverage AI for enhanced analytics solutions.

As a Senior Analyst, you will consolidate and ensure data integrity while collaborating with finance teams to develop solutions that meet business needs.

Lead finance analytics for 16 markets by building reporting, advanced SQL data models, and AI-driven analytics. Partner with senior finance leaders, create dashboards and agentic solutions, mentor junior analysts, and translate financial workflows into scalable AI and automation.

Ensure accuracy and integrity of processed data, resolve quality issues, maintain communication with local/regional/global colleagues, suggest process improvements, and follow regional and global standards for data operations.

Validate and code reference data for specific product categories, perform daily cross-coding and quality checks, prepare client deliverables, manage workloads to meet schedules, investigate and resolve data or process queries, liaise with clients and stakeholders, and develop category expertise.