Work with data center delivery and technical teams to provide commercial support for ongoing projects, including assessing and administering change requests and variation orders.
Lead data analysis and machine learning projects for cancer biomarker discovery and diagnostic model development using in-house multi-omics and clinical datasets.
Assist with implementing global policies and developing local policies and guidance in the areas of data protection and privacy, with a view for efficiency through the use of technology
Location: RedQ, KLIA 2Department: Internal AuditEntity: AirAsia Group BerhadStatus: Full-TimeDevelop and perform data analytics to identify anomalies, unusual transactions, control exceptions and emerging risk indicators across the Group.Support risk-based audit planning through analysis of operational, financial, commercial, IT and other relevant data to identify areas of heightened risk and prioritise audit coverage.Design and implement automated audit tests and recurring analytics to support continuous auditing and monitoring of key risks and controls.Support audit assignments through data extraction, cleansing, validation, analysis and visualisation, including population-based testing where appropriate.Analyse audit findings, corrective action plans and remediation data to identify recurring issues, systemic control weaknesses, overdue actions and emerging trends.Develop dashboards and management reporting to provide Internal Audit, senior management and the Audit Committee with meaningful insights into risk, control and remediation trends.Perform Group-wide analytics to identify inconsistencies in the implementation of Group policies, processes and controls across AOCs, subsidiaries and Group functions.Assess data quality and integrity and identify limitations that may affect the reliability of audit analytics and conclusions.Collaborate with auditors and business stakeholders to translate audit objectives and risk areas into appropriate analytical procedures and meaningful insights.Keep abreast of developments in data analytics, artificial intelligence, audit technology and emerging risks.Possess a Bachelor’s Degree in Data Analytics, Accounting, Finance, Business Administration, or a related discipline.3 to 5 years of experience in data analytics, internal audit, operational audit, risk management, or corporate governance. Experience in aviation is highly desirable.Strong analytical, problem-solving, and critical-thinking abilities with high attention to detail.Excellent written and verbal communication skills to effectively articulate findings and build relationships with stakeholders.Adaptable, high-integrity individual comfortable working in a fast-paced, high-growth, dynamic industry.
The client is a Singapore-based data consultancy building anon-premises data platform for a major data-centre operator across APAC. Each site produces telemetry from thousands of nodes at rates of up to millions of data points per second.
Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, from concept and design to deployment, operationalisation, and end-of-life management.
Design and implement a unified data development platform to improve the efficiency of global data producers, including intelligent IDE capabilities, workflow management, and multi-engine integration.
Build and operate the Marketplace data warehouse end to end, covering batch and real-time ingestion, semantic layer design, and application-layer modeling for downstream consumers.