Top Data Analyst Jobs in Malaysia

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.

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.

Leads Salesforce enterprise data governance, quality, compliance, and stewardship across Salesforce Data Cloud and core clouds. Establishes privacy, retention, masking, consent, security, deduplication, enrichment, and data quality standards. Oversees Data Cloud streams, identity resolution, profile unification, segmentation, activation controls, data lineage, and Salesforce-to-ERP synchronization. Develops quality metrics and executive reporting, coordinates cross-functional remediation, supports migrations and cleansing, and improves master data alignment. Requires Salesforce Data Cloud certification, strong data governance and MDM expertise, SQL knowledge, and 7+ years of relevant experience.

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.

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

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.

Provides first-line customer support, resolves platform and data-related issues, tracks cases, performs basic analysis, supports data extraction and report delivery, and coordinates with internal teams. The role requires professional bilingual communication in Simplified Chinese and English, strong Excel and Office proficiency, attention to detail, and the ability to manage multiple priorities.

Senior Finance Data Analyst responsible for financial reporting, advanced SQL data modeling, measurement frameworks, dashboards, and actionable analytics across 16 markets. The role partners with senior Finance and FinTech leaders, mentors junior analysts, and develops AI-powered automation such as anomaly detection, root-cause analysis agents, and LLM-assisted insights.

Owns end-to-end analytics for Bybit’s fiat business, including conversion funnels, revenue modeling, liquidity, payment-channel performance, operational monitoring, dashboards, and regulatory reporting. Provides actionable recommendations on pricing, corridors, incentives, and channel strategy while supporting product, operations, compliance, finance, and regional teams through experimentation and ad-hoc analysis.

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. Collaborates with regional and global operations teams and assists with department projects. The role focuses on formatting technology and durable-goods data to match internal systems.

Analyzes campaign performance across social and digital channels, produces actionable reports, evaluates customer journeys, optimizes funnels, and runs A/B and multivariate tests. The role also identifies growth opportunities, monitors ad-tech trends, supports campaign setup and tracking, and communicates insights to internal teams. Candidates should be analytical, self-directed, detail-oriented, and experienced with Excel, visualization, campaign metrics, Google Analytics, and digital advertising platforms.

Processes and validates data, maintains data integrity, resolves quality issues, conducts internet research, and supports efficiency improvements. The role requires accurate detail-oriented work, adherence to regional and global standards, collaboration with stakeholders, and strong Mandarin communication skills. Fresh graduates are encouraged to apply.

Ensures data integrity and accuracy during processing, verifies processed data, resolves quality issues, communicates with internal and external stakeholders, follows regional and global standards, and recommends process improvements. The role requires strong computer skills, attention to detail, internet research ability, prioritization, and Mandarin proficiency. Fresh graduates are encouraged to apply.

Leads complex data analytics projects, partners with business stakeholders, and delivers automated dashboards, reports, and strategic insights. Aggregates and validates data, performs data manipulation and stewardship, supports governance initiatives, and improves reporting processes. The role requires advanced Excel, Power BI, Tableau, Salesforce, database, analytics, and dashboard development expertise, along with strong communication, problem-solving, and project coordination skills.

Manages customer and transactional master data in SAP, including customer hierarchies, pricing conditions, contracts, and order-process attributes. Ensures data governance, quality, cleansing, approvals, and system readiness. Resolves data issues, supports O2C processes, manages tickets and incidents, contributes to system enhancements, leads continuous improvement initiatives, and trains users and team members. The role supports Greater China and requires English and Chinese proficiency.

Translate business needs into analytics, reporting, and AI-enabled insights. Analyze data with Python and SQL, develop Power BI dashboards and semantic models, and create governed datasets. Design and evaluate GenAI, LLM, Copilot, and AI-agent use cases using RAG, vector databases, Microsoft Fabric, Azure AI Foundry, and related platforms. Partner with stakeholders and engineering teams to support enterprise AI adoption, automate workflows, and shape the organization’s APAC AI strategy.

Analyzes quality and EHS data from multiple sources, develops Power BI dashboards and reports, identifies trends and anomalies, applies statistical and predictive modeling techniques, integrates TQM systems with analytics platforms, conducts risk assessments, and presents actionable recommendations to stakeholders and executives.

Develops and standardizes commercial dashboards, reports, and analytics to support business decisions. Aggregates and validates data from multiple sources, maintains data integrity, manages reporting requests, and recommends process improvements. The role also supports data stewardship and governance initiatives, improves data adoption and maintenance, and resolves duplicate or improperly assigned records. Collaboration with stakeholders, data manipulation, dashboard creation, and business insight generation are central responsibilities.

Owns customer and transactional master data management within the Order to Cash function. Responsibilities include validating and maintaining customer master data, hierarchies, pricing conditions, contracts, commercial terms, and order-process fields in SAP. The role ensures data quality, governance, consistency across systems, contract approvals, credit-note processing, and continuous improvement. It also collaborates with cross-functional teams, supports projects, and coaches junior employees.

Analyze complex business data to establish monitoring frameworks, identify business issues, and deliver actionable insights for operational decisions, marketing strategies, and product direction. Develop analysis methods, define data product requirements, collaborate with product and development teams, support project execution, and provide training on data concepts, tools, and methods.

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.

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.