Top Data Analyst Jobs in Malaysia

Support finance data quality, reconciliation, and controls within a regulatory reporting environment. Perform data validation, investigate discrepancies, execute reconciliations and true-ups with audit trails, maintain governance and reference data, prepare audit-ready documentation, and collaborate with finance, risk, and data stakeholders to resolve issues and escalate control gaps.

As a Data Analyst, you will collaborate with stakeholders to deliver BI solutions, create visual reports and dashboards, perform data analysis using SQL, and ensure quality in reporting.

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.

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.

Support clinical data management tasks across the trial lifecycle, including data cleaning, query management, data review, database setup, UAT, and study start-up activities while ensuring ICH-GCP compliance. Collaborate with cross-functional teams in a global CRO environment and develop analytical, problem-solving, attention-to-detail, and project coordination skills.

Support daily sales operations and maintain high-quality Salesforce data. Create and maintain reports and dashboards (Power BI, Excel), troubleshoot user issues, assist with UAT/SIT and release validation, document test results, coordinate defect resolution, perform data cleanup and mass updates, support quote/pricing and account/contact management, and help onboard and train users.

The role involves processing and analyzing financial documents, conducting data quality checks, reporting insights, and supporting data cleansing initiatives within Private Equity operations.

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.

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.

The Data Analyst will analyze sales data to identify trends and improve performance, developing insights and collaborating with sales teams. Responsibilities include data visualization and database maintenance.

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

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

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.

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.

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 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 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 fraudulent patterns in ecommerce, manage customer data securely, and provide insights using statistical methods while adhering to KPIs.

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

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.

The Data Analyst will translate financial documents between Mandarin and English, conduct research, resolve client queries, maintain glossaries, and deliver quality work in a team environment.

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.