Top Data Analyst Jobs in Malaysia

Collects, validates, and maintains flight journey log data, ensuring accurate and timely records. Monitors electronic updates, identifies discrepancies, coordinates corrections, and maintains audit trails. Prepares recurring operational, KPI, compliance, and management reports using verified data. Develops visualizations, dashboards, and tabulated reports while supporting data integration, acquisition, transformation, statistical analysis, predictive modeling, and stakeholder reporting.

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 sales operations by managing and governing sales and commercial data. Implement and maintain data warehouse/DataMart solutions, ETL/ELT processes, and BI reporting. Ensure data quality, security, and access controls; support sales commission datasets; create data documentation (dictionaries, mappings, lineage); collaborate with GTS and stakeholders to translate business needs into analytics requirements and resolve data issues.

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.

Leads marketing analytics and experimentation across 16 markets, using SQL, Python, statistical modeling, A/B testing, causal inference, and machine learning to optimize marketing spend. Builds scalable data models, dashboards, measurement frameworks, and AI-powered analytical tools using BigQuery, dbt, Looker, and Tableau. Partners with senior marketing stakeholders, presents strategic insights, mentors junior analysts, and drives adoption of automated and agentic analytics workflows.

Analyze taxpayer data to support GST compliance, fraud detection, behavioral prediction, and intervention strategies. Develop analytics models, LLM-based AI prototypes, interactive dashboards, and data-sharing processes. Collaborate with stakeholders, operationalize data governance policies, provide analytical tools training, and support compliance initiatives and performance monitoring.

Manage enterprise master data operations, incidents, data quality, lifecycle management, and SLA adherence. Evaluate requests using ITIL, translate business requirements into technical solutions, improve processes, support SAP-related data activities, maintain documentation, manage audit controls, deliver training, and contribute to local and global projects. The role supports Finance, Procurement, Sales, and Supply Chain organizations across Roche.

Processes and validates data to ensure integrity, accuracy, and compliance with regional and global standards. Resolves quality issues, communicates with internal and external stakeholders, and identifies workflow improvements. The role requires strong computer skills, attention to detail, independent prioritization, and spoken and written Mandarin proficiency. Fresh graduates are encouraged to apply.

Executes country-level data operations, including retailer and audit data validation, completeness monitoring, issue resolution, content reviews, submissions, documentation, and query management. Investigates root causes, recommends process improvements, supports business setups and regional projects, and delivers accurate data within SLAs. Collaborates with multicultural teams, manages daily workloads, follows SOPs, and supports operational targets and continuous learning.

Supports enterprise application integrations, APIs, middleware, data flows, and system interfaces. Responsibilities include monitoring integration availability, investigating incidents, coordinating with vendors and technical teams, gathering requirements, supporting testing and deployments, maintaining documentation, and ensuring governance and reliable data exchange. Senior analysts handle complex issues, stakeholder discussions, integration ownership, and guidance for junior team members.

Processes client deliverables through coding, data input validation, and accurate, timely output delivery. Resolves commercial and data-related queries, analyzes process gaps, improves coding and validation workflows, supports standard operating procedures, and coordinates with international operations teams. The role supports the Korea market and requires fluent English and Korean communication, strong organization, attention to detail, Excel proficiency, and the ability to manage deadlines in a multicultural environment.

Lead design and delivery of finance dashboards, reports, and analytics. Partner with stakeholders to translate business needs into analytical solutions, ensure data quality and governance, trace data lineage, mentor analysts, and collaborate with data engineering to maintain trusted finance reporting and KPIs.

Lead design, build, and maintain factory automation and connectivity solutions for semiconductor back-end production. Implement AI controllers, image AI, SCADA and remote command center capabilities. Integrate hardware (AGV/ARV/ASRS), collaborate with engineering and data science to deploy predictive quality and maintenance, convert business needs to IT specs, manage stakeholders, roadmap factory automation, and monitor project delivery.

The Korean Project Coordinator oversees Korean projects including recruitment, training, scheduling, quality checks, and maintaining relationships with contractors. They handle financial and non-financial event documentation and enhance operational efficiency.

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.

The Senior Data Analyst will deliver advanced analytics and actionable recommendations for quick commerce strategy across 16 markets. Responsibilities include causal impact modeling, ROI measurement, SQL data modeling, metric framework development, dashboards, visualization, and AI-powered analytics automation. The role partners with senior operations, supply chain, and commercial stakeholders, influences investment decisions, develops agentic workflows, and mentors junior analysts.

Processes employee data service requests, updates and validates HR records, extracts and reports data, maintains data integrity and privacy, handles employee data documentation, and supports HR shared service transitions across Southeast Asia. The role also assists with process improvements, issue resolution, job aids, stakeholder support, and implementation of HR service tools. Korean and English communication is required.

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

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

Manage Engineering Change Orders, product and parts data, BOM structures, document releases, and product lifecycle processes across ERP and PLM systems. Coordinate with Engineering, Production, Procurement, Supply Chain, Marketing, and Product Support to ensure data integrity and manufacturing readiness. Support new product introductions, product obsolescence, compliance, KPI improvement, and continuous improvement initiatives. Lead related projects and provide internal consulting on product structure and configuration management.

As a Data Analyst, you will manage and analyze data for decision-making, develop automated cleaning scripts, create dashboards, and present insights to management.

Provide day-to-day Aras PLM operational support, troubleshoot user issues, manage product master data and governance, analyze and improve business processes, gather requirements for system changes, support testing and UAT, create process documentation and training, and liaise between business and IT across global semiconductor teams.

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.