Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Responsible for the delivery and SLAs by guiding incident resolution, problem management, maintenance, and enhancement tickets raised by the end users for data solutions.
Engage with internal technology team to facilitate access to relevant data sources and ensure data quality and governance.
Technically lead the way in reviewing and adopting new, emerging and existing tech, leveraging benefits to improve availability, operations and support objectives.
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Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Oversee the deployment of codes into production environments and safeguard the integrity of production databases, ensuring adherence to established protocols. This includes monitoring data accuracy, validating changes, and enforcing best practices for secure deployments.
Provide first-level technical support to end-users, serving as the primary point of contact for application-related issues.
Participate in code reviews, debugging, performance tuning and other technical discussions, contributing to ongoing and upcoming projects and enhancements.
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Conduct fare structure reviews, fare elasticity analysis and financial evaluations for fare products. Execute strategic initiatives/projects, ensuring timely completion and consistent alignment with the objectives.
Provide economic, ridership, statistics and operational insights or data/ input to support government agenda (e.g. NACCOL, My50, Buku Statistik Pengangkutan, Sesi Pemukiman Daya Saing Negara).
Perform other related duties as assigned to support organisational mission and objectives.
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You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.
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Reporting: Help prepare monthly reports and presentations on data trends and insights for leadership.
Documentation: Monitor reporting consistency and write clear guides, manuals, and technical documentation.
Currently pursuing or recently completed a Diploma or Degree in Information Technology, Computer Science, Data Science, or a related quantitative discipline.
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Assist in the development and enhancement of AI-powered chatbots using GCP services such as Dialogflow, Vertex AI, Firestore or other relevant platforms
Involve in Retrieval-Augmented Generation (RAG) techniques to improve chatbot relevance using enterprise documents. Participate in testing and refining chatbot performance to ensure accuracy and user satisfaction
Research and explore the concepts and applications of Agentic AI, focusing on how it can be implemented using GCP tools and services (e.g., Vertex AI Agents, custom models
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