Top Data Analyst Jobs in Malaysia

The intern will handle environmental data for compliance, collaborate with suppliers on material declarations, provide training, and maintain databases.

The Senior Data Analyst will develop dashboards in Power BI, leverage Snowflake for data practices, and translate business needs into insights and visualizations, focusing on user experience and performance management.

This role involves data analysis and validation of Private Equity documents, collaborating with teams, and supporting data quality initiatives.

The Senior Data Analyst - Economics at SEEK generates insights from labor market data, supports data management, and collaborates with various teams to inform business strategy.

As an Associate Data Analyst, you will analyze complex datasets to drive business insights, improve product quality, support strategic initiatives, and present findings to stakeholders.

The Data Analyst role involves analyzing customer data, creating reports, building dashboards, and presenting insights to stakeholders, primarily using SQL and Python.

The Data Analyst is responsible for creating high-quality transcripts of Mandarin financial reports, converting them to English, and ensuring project quality and efficiency through data analysis and collaboration.

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

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

The Data Analyst will prepare and analyze data, develop dashboards, monitor data quality, and collaborate with stakeholders to deliver actionable insights.

The Data Analyst III role involves consulting with stakeholders to gather and analyze data, develop visualizations, and support data-driven business decisions independently on complex projects.

As a Business Analyst, you'll support data initiatives, assist in requirements gathering, and help deliver data transformation projects, focusing on data governance and compliance.

The Finance Data Analyst will transform financial data into insights, supporting reporting and accuracy while collaborating with cross-functional teams.

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

The Finance Data Analyst will design data models, develop user-friendly dashboards, ensure data compliance, and support analytics training while contributing to a productivity metric framework.

Support business strategy by analyzing complex data, developing insights, collaborating with teams, and preparing presentations for decision-making.

The Executive Data Analyst will analyze data, ensure data quality, and support data-driven decisions across operational and strategic functions by developing SQL queries and collaborating with cross-functional teams.

The Senior Master Data Analyst manages and ensures data quality and integrity of master data across various domains, supports data governance, conducts data profiling and analysis, and collaborates with stakeholders to optimize data management processes.

This Data Analyst Intern role involves collecting, cleaning, analyzing data, and generating reports to support business decisions.

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.

The Data Analyst will assist with data collection, cleaning, analysis, and reporting, and support data-driven strategy development.

Assist in data collection, cleaning, analysis, and reporting. Collaborate with teams to provide analytical solutions and ensure data accuracy.

Assist in data consolidation, analysis, and presentation. Provide insights from data to support business decisions using Google Workspace tools.

The Engineering Data Analyst gathers, cleans, and analyzes engineering data to provide insights and facilitate informed business decisions, while ensuring data integrity and promoting process improvements.

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