Top Data Analyst Jobs in Malaysia

Perform UAT for Customer Due Diligence and Name Screening systems, execute defined test cases, identify and track defects, conduct regression testing, maintain testing evidence, and collaborate with business, project, and technology teams. The role is suitable for fresh graduates with a relevant diploma or degree and requires attention to detail, communication, problem-solving, and documentation skills.

Develops dashboards, reports, data products, KPIs, and analytics solutions for global supply chain functions. Partners with stakeholders, data engineers, and product owners to analyze trends, risks, and improvement opportunities. Ensures data quality, supports governance and documentation, trains users, and communicates actionable insights for strategic and operational decisions.

Supports clinical trial data management from database setup through database lock. Responsibilities include data cleaning, query management, SAS listing reviews, vendor data reconciliation, clinical database UAT, CRF tracking, data entry, documentation, quality control, and compliance with SOPs and ICH/GCP guidelines. Requires strong analytical, organizational, communication, collaboration, and problem-solving skills, along with basic clinical data management, medical terminology, coding dictionary, and clinical research knowledge.

Analyze agricultural and forestry supply chain data, including traceability, supplier performance, environmental and social risk indicators, and sustainability KPIs. Clean, validate, consolidate, and manage datasets from multiple sources. Develop Power BI reports, dashboards, and visualizations; support client reporting, scorecards, and consultancy projects. Improve data quality controls, reporting workflows, and automation while collaborating with technical consultants, Finance, Operations, and global data management teams.

Four- to six-month clinical data management internship supporting data cleaning, query management, database setup and lock, vendor reconciliation, clinical database testing, CRF tracking, data entry, documentation, quality control, and ICH/GCP compliance. The role requires analytical problem-solving, accuracy, collaboration, communication, adaptability, and English fluency.

Performs clinical data cleaning, validation, query management, data processing, database setup, reconciliation, user acceptance testing, CRF tracking, and database lock support. Maintains data management documentation and trial master file records while ensuring compliance with SOPs, ICH-GCP guidelines, regulatory requirements, and study procedures. Supports quality control, training compliance, protocol review, and collaboration across clinical data management teams.

Supports mobile and online research panel operations, participant communications, digital audience measurement, data processing, validation, and quality monitoring. The role analyzes data trends, investigates discrepancies, maintains accurate records, follows legal and quality requirements, escalates risks, and collaborates with local and global teams to improve data collection and processing.

Supports mobile and online research panel operations, participant communications, digital audience measurement, data processing, validation, and quality monitoring. The role investigates routine discrepancies, escalates risks and unexpected data changes, maintains accurate records, applies compliance requirements, and collaborates with local and global teams to improve data collection and processing.

Supports mobile and online research panel operations, participant communications, digital audience measurement, data validation, quality monitoring, discrepancy investigation, and routine issue escalation. Maintains accurate records, follows operational and legal requirements, collaborates with local and global teams, and helps improve digital data collection and processing.

Supports mobile and online research panel operations, participant communications, digital audience measurement, data processing, validation, quality monitoring, and issue escalation. The role analyzes digital data trends, maintains accurate records, applies Nielsen systems and metering technology, ensures compliance, and collaborates with local and global teams to deliver reliable research outputs.

Develops, optimizes, and maintains Power BI data models, financial reports, dashboards, and data sources. Translates stakeholder requirements into reporting solutions, manages data quality and governance, supports model users, documents data structures, and collaborates with data owners to ensure timely validation and refreshes. Requires advanced Power BI, DAX, Excel, business intelligence, and analytical skills, with responsibilities supporting financial reporting and analysis.

Provides first-line customer support, troubleshoots platform and data issues, manages cases, assists with data extractions and report delivery, and coordinates resolutions with internal teams. The role requires Mandarin and English fluency, basic data analysis, strong communication, attention to detail, and proficiency with Microsoft Excel and Office applications.

Supports operations teams by processing client deliverables, coding products, validating and cleaning retailer data, maintaining data integrity, resolving quality issues, and ensuring accurate, timely outputs that meet regional and global standards.

Process and validate data, maintain data integrity, investigate quality issues, and resolve discrepancies raised by supervisors or clients. Collaborate with local, regional, and global teams while following company standards. Identify workflow improvements and support efficient operations. The role requires strong Microsoft Office skills, attention to detail, independent prioritization, and intermediate spoken and written Thai proficiency. Fresh graduates are encouraged to apply.

Monitor sales compensation data pipelines, validate ingestion and commission calculations, reconcile transactional revenue, investigate anomalies, maintain SOPs and SOX controls, and produce Power BI and Excel operational reporting. The role partners with Finance, Revenue Operations, and global technology teams to resolve source-data defects, improve pipeline reliability, and support accurate month-end compensation processing.

Plans, coordinates, executes, and reports on testing for data platforms, ETL/ELT processes, business intelligence, reporting, and analytics solutions. Develops test plans and cases, executes regression and automated testing, manages defects, tracks KPIs, and communicates results. Collaborates with Data Engineers, stakeholders, and project teams to ensure solutions meet functional and technical requirements while improving testing processes, automation, and data quality.

Leads advanced analytics for quick commerce across 16 markets, including causal impact modeling, ROI measurement, SQL data modeling, dashboards, and AI-powered analytics automation. Partners with senior stakeholders in quick commerce, operations, and supply chain to guide strategy and capital allocation. Builds measurement frameworks and visualization assets, develops agentic workflows, and mentors junior analysts.

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.

Conduct quick commerce and partnerships analysis, build SQL data models and measurement frameworks, develop dashboards and AI-enabled analytics solutions, monitor data quality, and provide strategic insights to operations, supply chain, and business stakeholders. The role covers funnel analysis, dark store performance, delivery metrics, cost and margin optimization, experimentation, reporting, and automation using analytical and AI techniques.

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.

Monitors media coverage and social conversations, extracts and analyzes data, maintains data quality, prepares reports, identifies anomalies, and supports client accounts and new business pitches. The role uses media monitoring and social listening platforms while developing skills in digital analytics, visualization, automation, and AI-enabled intelligence.

Leads a team delivering media intelligence, social listening, digital analytics, reporting, and measurement frameworks across APAC. Responsibilities include designing queries and taxonomies, analyzing media, social, website, and campaign data, developing dashboards and automated reporting, advising clients, supporting new business, assuring quality, and coaching analysts. The role partners with AI and technology teams to improve scalable intelligence solutions and translates complex findings into commercially relevant recommendations.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Process and validate data, coding, client instructions, and deliverables for the Korea market. Resolve client and data-related queries, manage daily workloads, identify process improvements, provide feedback to country teams, promote standard operating procedures, and coordinate with international operations and commercial stakeholders. The role requires accurate execution, strong organization, Korean and English communication, and Excel proficiency.

Manages product data configuration, BOMs, and engineering change orders in Agile PLM and SAP for new product introduction and sustaining engineering. Maintains data integrity, documents and improves PDM workflows, coordinates validation with cross-functional data owners and suppliers, and tracks data quality metrics. Partners with product development, manufacturing engineering, supply chain, finance, and service teams to ensure accurate, traceable, and compliant product information.