Top Data Analyst Jobs in Malaysia

Ensure data integrity and accuracy during processing, verify and resolve data quality issues, communicate with local/regional/global teams, suggest process improvements, and adhere to regional and global standards.

Lead regional data governance and master data quality efforts across core systems. Analyze root causes, define business terms and data quality rules, recommend process improvements, create documentation, partner with global teams, coach colleagues, and drive dashboards and remediation to ensure consistent, accurate master data.

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.

The Senior Data Analyst will design analyses, develop reporting solutions, gather customer feedback, and improve customer experience through data-driven strategies.

Compile and verify payment data from reporting entities, ensure regulatory reporting compliance, perform statistical analysis, impute missing values and forecast trends, develop business/functional requirements and test data platforms, generate insights and thematic write-ups for stakeholders, provide advisory, and coach support staff.

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.

Collect, validate and compile macroeconomic and debt securities data; perform statistical analysis, imputation and forecasting (including ML); generate insights and visualizations; draft policies and reporting guidance; define business/functional requirements and test system enhancements; communicate results to stakeholders; coach and supervise support staff.

Serve as first point of contact for client inquiries, troubleshoot basic platform and data issues, document and track cases, perform basic data analysis and extractions, deliver reports, and collaborate with internal teams to resolve client concerns while improving processes and knowledge resources.

Analyze complex datasets to improve products, customer experiences, and business growth. Develop scalable data models, dashboards, alerts, KPI definitions, and reporting solutions while ensuring data quality, privacy, and accessibility. Collaborate with data engineers, BI teams, and business stakeholders to translate requirements into actionable insights. Mentor junior analysts, optimize analytical processes, and support automation and data-driven decision-making across the organization.

Supports data science and analytics solution development that drives business growth, customer experience, productivity, and efficiency. Responsibilities include delivering analytics workplans, developing statistical, predictive, segmentation, and propensity models, creating reusable best practices, supporting business decisions, and collaborating with multidisciplinary teams. The role requires programming-based analytics expertise, machine learning knowledge, strong analytical and problem-solving skills, business acumen, and project management capabilities.

Manage client deliverables, data cleaning, categorization, and input validation for Taiwan-market projects. Investigate and resolve data, process, and product queries with commercial and client liaison teams. Plan workloads, identify coding and validation improvements, provide feedback to country teams, support standard operating procedures, and collaborate across multicultural operations teams to deliver accurate, timely client outputs.

Execute sample management and data quality checks, monitor production tasks, identify automation opportunities, support statistical operations and ad‑hoc projects, coordinate with cross‑functional teams, and produce KPIs to improve on‑time delivery and data accuracy.

Deliver data lists and analytics to meet SLAs, scope customer requirements, advise sales, coordinate with IT for automated solutions, prioritize workloads, and produce statistical reports using SQL, SAS, R and/or Python to support Marketing, Trade, RMS and S&MS teams.

Lead finance analytics across 16 markets by building advanced SQL data models, defining measurement frameworks, creating dashboards and agentic AI solutions, partnering with senior finance stakeholders, mentoring junior analysts, and driving AI adoption to automate and scale finance reporting and insights.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Maintain and process core finance master data within defined SLAs and controls; resolve basic queries; generate KPI reports; support process improvements, documentation and system/process changes; collaborate with stakeholders and assist senior analysts and new joiners.

Monitor live multi-sport data feeds, ensure accuracy, execute tasks during events, handle anomalies, and improve operational processes in a fast-paced environment.

The Data Infrastructure Analyst develops, migrates, and validates credit risk data for reporting and regulatory needs. The role emphasizes automation for efficiency and collaborates with stakeholders to ensure data accuracy and governance.

First-line data center operations role responsible for 24/7 monitoring and maintenance of critical electrical and mechanical systems, incident response, vendor oversight, ticket support, reporting, asset management, audits, and remote-hand/server tape tasks.

Validate and ensure integrity of processed data, resolve quality issues, maintain stakeholder communication, suggest process improvements, and adhere to regional and global standards.

Monitor physical security, video, intrusion, safety and infrastructure alerts for a data center; triage and classify events; escalate per GSOC models; coordinate incident communications and maintain logs; support 24/7 shift-based operations.

Lead growth and commercial analytics for lending: build LTV and segmentation frameworks, analyze acquisition and retention, define KPIs, generate insights, and partner with Sales, Marketing, and Product to inform investment decisions.

Own and deliver portfolio and credit risk analytics and reporting, including delinquency, vintage, concentration, provisioning, macro-to-portfolio analysis, segmentation and stress tests; partner with Risk, Credit, Data Science, Finance and Engineering to align metrics and present actionable insights to leadership.