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As the HRBP, you will develop and deliver the regional People & Organization strategy,the role leads HR for a global IT & Data transformation project and serves as the primary HR contact for IT & Data employees in Malaysia and APAC, managing all employee matters from hire to retire, including workforce planning, talent development, performance management, onboarding, and engagement programs.
The Incumbent is responsible for planning, managing and monitoring implementation of data strategy by providing meaningful analytics and insights to support business growth.
The Data Engineer designs and builds scalable data pipelines and modern data platform infrastructure to support analytics, machine learning, and enterprise‑wide data initiatives. The role collaborates closely with cross‑functional teams to architect big‑data solutions, ensure data quality and governance, and drive innovation through advanced cloud and distributed technologies.
The role of Data Scientist involve leveraging advanced analytics to support data-driven decision-making and strategic initiatives.
This role is responsible for maintaining the integrity, quality, and governance of Finance Master Data, including financial structures and chart of accounts. The position plays a critical role in ensuring accurate financial reporting through strong data controls, validation processes, and governance frameworks.
The IT Data Analyst will be responsible for analyzing and interpreting data to support business decisions within the industrial/manufacturing sector. This role is based in Klang and focuses on leveraging technology to enhance data-driven strategies and operations.
The Data Analyst Engineer will play a key role in analyzing and interpreting complex data to support decision-making processes within the energy and natural resources industry. This position is based in Perak and offers a remote working opportunity for a motivated individual with a strong analytical mindset.
The Data Engineer will play a crucial role in developing and managing data pipelines, ensuring data is accessible, reliable, and optimized for analytics in the financial services industry.
The Data Scientist analyzes data and builds predictive models to guide business decisions, developing and deploying machine learning for customer retention, lead generation, cross-selling, and fraud detection.
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