Top Data Analyst Jobs in Malaysia

Perform portfolio analytics and scorecard model development for capital and provisioning. Conduct Basel EL and RWA analysis, regulatory stress testing, forecasting, reporting, dashboard development and automation. Support systemisation, UAT/regression testing, stakeholder engagement and continuous process improvements using Python and visualization tools.

The Data Analyst/Steward manages customer master data, ensuring accuracy and compliance. This role involves data analysis, reporting, monitoring data quality, and cross-functional collaboration with various teams.

The role focuses on developing analytics systems and tools to enhance solution selling strategies, collaborating across teams to deliver insights and support sales functions.

Support post-market quality by analyzing quality and operations data to identify trends, drive continuous improvement, and create reporting tools and visualizations. Collaborate with R&D on defect resolution, participate in projects, and present findings to stakeholders to support regulatory and quality decision-making.

Perform clinical data cleaning, query management, data reconciliation, UAT and database setup support from start-up through database lock. Maintain DM documentation per SOPs and ICH/GCP, track CRFs, perform QC and training, and collaborate with study teams to ensure data quality and compliance.

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.

The Data Analyst role involves annotating emails, identifying malicious URLs, labeling data for AI training, ensuring process adherence, and supporting project management KPIs.

This Data Analyst role involves annotating and examining emails, identifying malicious links, labeling data for AI, and ensuring compliance with processes. The candidate will also monitor KPIs and assist project management.

As a Data Analyst at Oliver Wyman, you will work with clients to solve challenges through data analytics, including developing prototypes and sharing insights. You will participate in diverse projects involving machine learning, risk management, and customer analytics.

Work within the WB Portfolio Management Unit to develop scorecard models, perform portfolio analytics (Basel EL/RWA), forecasting, regulatory stress testing, reporting, dashboard development and automation, stakeholder engagement, UAT/regression testing, and support systemisation initiatives using Python and visualization tools.

Lead marketing analytics and experimentation across markets: design and analyze A/B and geo tests, build ML and causal-inference models, develop BigQuery/dbt data models, create dashboards (Looker/Tableau) and agentic AI analytics, present insights to senior stakeholders, and mentor junior analysts to scale AI-driven marketing measurement and automation.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

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.

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

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.

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.

Support APAC Data & Analytics projects by collecting, cleaning and structuring data; performing financial, portfolio, location and geospatial analyses; building dashboards and financial models; and presenting insights via reports and visualisations to project teams, senior management and clients.

Six-month internship supporting data collection, cleaning, basic analysis, and reporting. Create dashboards and visualizations, document data processes, ensure data accuracy, and present findings to stakeholders.

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.

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

Manage and govern customer master data across ERP/CRM/MDM systems. Create, update, validate, deduplicate, and deactivate records; perform data quality checks and remediation; support compliance (SOX) and audits; handle service requests and SLA-driven ticket queues; generate quality reports; collaborate cross-functionally and mentor junior coordinators.

Ensure quality and representativeness of retail audit data and samples. Design samples and estimate universes using internal and external sources. Perform quality checks, track KPIs, run advanced analytics, interpret trends, recommend corrective actions, prepare presentations, and liaise with production, field teams, and clients to improve Ipsos retail products.

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

Support data consolidation, cleaning, and analysis to identify trends and anomalies. Generate actionable insights and deliver clear presentations and reports using Google Sheets, Slides, and Docs to inform business decisions.