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.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

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.

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

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.

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.

As a Communications Data Analyst Intern, support data reporting, assist in email campaigns, maintain databases, and help with operational communications.

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.

As a Data Analyst at NIQ, you will own data science solutions, support clients, collaborate with teams, and innovate data insights using Python and other tools.

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 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.

Analyze data to mitigate risks, develop insights on user behaviors, maintain business metrics, create dashboards, and collaborate on risk management strategies.

Assist in developing growth strategies and optimizing processes in the Borneo region with strong analytical skills and collaboration efforts.

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.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

The Data Analyst will support stakeholders with data analytics, developing dashboards and reports, analyzing datasets, and improving processes.

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

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.