Market & Industry Research: analyse data from external sources, industry reports, and market publications to generate insights from both structured and unstructured data
Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, business information reporting and visualisation software
End-to-End Visual Analytics: Gain hands-on experience in data extraction, data cleaning, and structuring clear executive dashboards for decision-making.
Proactively identify operational risks, bottlenecks, and inefficiencies by analyzing trends, patterns, and system behaviors, and provide forward-looking recommendations.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Skills and knowledge in business intelligence tools, data modelling software and programming or scripting languages that support model development, manipulation, aggregation and visualization.
Developing accelerators, reference architectures, and enablement content in the data and analytics domain that help field sales teams, partners, and customers adopt AWS data services faster and with confidence.
You will define and execute the Group-wide Data & Analytics strategy and operating model, with responsibility spanning Data, Analytics, AI, Data Platforms and enterprise data transformation. You will work closely with senior business and technology leaders to identify high-value opportunities and translate strategic priorities into scalable solutions with measurable commercial and operational impact.
Obtain CDM and UW teams input and maintain timely updates in the system including sales pipelines, status changes and comprehensive documentation of lost accounts.
Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.
AI-Driven Talent & L&D Solutions - Lead the research, evaluation, and pilot-testing of next-generation AI and machine learning tools for smart talent acquisition, capability mapping, and personalized, data-driven learning pathways
Act as the primary quantitative partner to the global benefits advisors and subject matter experts to provide a unified, data-driven value proposition for most complex, multinational clients.
Set direction and priorities. Shape a focused data, analytics and AI portfolio, including the enterprise AI Roadmap, around Air Selangor’s strategic and regulatory needs. Agree problems, owners and measurable outcomes with business sponsors; invest, scale or stop initiatives within delegated authority, based on evidence and value.