Top Data Analyst Jobs in Johor Bahru

Develops, optimizes, and maintains Power BI data models, financial reports, dashboards, and data sources. Translates stakeholder requirements into reporting solutions, manages data quality and governance, supports model users, documents data structures, and collaborates with data owners to ensure timely validation and refreshes. Requires advanced Power BI, DAX, Excel, business intelligence, and analytical skills, with responsibilities supporting financial reporting and analysis.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Manages product data configuration, BOMs, and engineering change orders in Agile PLM and SAP for new product introduction and sustaining engineering. Maintains data integrity, documents and improves PDM workflows, coordinates validation with cross-functional data owners and suppliers, and tracks data quality metrics. Partners with product development, manufacturing engineering, supply chain, finance, and service teams to ensure accurate, traceable, and compliant product information.

Translate business needs into analytics, reporting, and AI-enabled insights. Analyze data with Python and SQL, develop Power BI dashboards and semantic models, and create governed datasets. Design and evaluate GenAI, LLM, Copilot, and AI-agent use cases using RAG, vector databases, Microsoft Fabric, Azure AI Foundry, and related platforms. Partner with stakeholders and engineering teams to support enterprise AI adoption, automate workflows, and shape the organization’s APAC AI strategy.

Support APAC Claims Operations by producing and automating reports, reconciling multi-system data, resolving quality issues, and developing scalable dashboards. Build SQL queries, Python automation workflows, data validation processes, and documentation. Deliver ad hoc analysis and leadership insights while piloting AI applications such as claims classification, anomaly detection, document summarization, and natural-language querying. Partner across markets to improve reporting efficiency, data quality, and operational decision-making.