Top Data Analyst Jobs in Malaysia

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.

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.

Processes, quality-controls, and analyzes measured and modeled metocean datasets from offshore instruments and remote sensing systems. Performs statistical and time-series analyses to characterize marine environments and derive design criteria. Produces technical reports and presentations, supports project management, and liaises with clients. Requires strong oceanic and atmospheric physics knowledge, Python and MATLAB expertise, and experience with metocean data. Numerical modeling experience is preferred.

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.

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.

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.

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

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

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 data collection, cleaning, validation, and exploratory analysis. Help build and maintain dashboards and reports, collaborate with teams to deliver insights, and contribute to data-driven process improvements.

As a Data Analyst, your role involves analyzing sales data, developing data-driven insights, collaborating with sales teams, and creating visualizations to communicate insights effectively.

Analyze business requirements, lead data mapping and source-to-target transformations, develop and optimize complex SQL queries, define data quality controls, support UAT and testing, prepare documentation, and coordinate stakeholders to ensure accurate data integration and reporting for banking projects.

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.

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.

Manages enterprise business partner master data operations, including incident evaluation, data quality, lifecycle management, process analysis, SOPs, audit controls, training, and continuous improvement. Translates business requirements into technical solutions, collaborates with IT and global stakeholders, supports SAP processes across Finance, Procurement, Sales, and Supply Chain, and leads or coordinates related projects.

Processes and validates data for accuracy and integrity, resolves quality issues, maintains communication with regional and global stakeholders, follows company standards, and recommends efficiency improvements. The role requires Mandarin proficiency, strong computer skills, attention to detail, independent prioritization, and the ability to manage multiple tasks under pressure. Fresh graduates are encouraged to apply.

Leverage advanced analytics to influence quick commerce strategy across 16 markets. Design causal impact and ROI analyses, define measurement frameworks, build SQL data models and dashboards, and develop AI-driven tools such as anomaly detection and root-cause analysis agents. Partner with senior operations, supply chain, and commercial stakeholders, present actionable recommendations, mentor junior analysts, and drive scalable analytics automation.

Ensure data integrity and accuracy during processing; verify and resolve quality issues; maintain communication with local, regional, and global colleagues; suggest process improvements; adhere to regional and global standards.