IT Intern
Engie · Singapore
Description:
- Support the development and delivery of enterprise analytics, Artificial Intelligence (AI), and Business Intelligence (BI) solutions that transform data into strategic business value.
- Design and develop executive dashboards, KPI scorecards, and advanced analytics solutions that provide real-time visibility into operational and business performance.
- Leverage Power BI, Microsoft Analysis Services, and advanced DAX capabilities to build high-performing, secure, and scalable reporting solutions.
- Integrate, transform, and govern data from cloud and on-premises systems, ensuring data quality, consistency, accessibility, and compliance.
- Implement robust security frameworks, including Row-Level Security (RLS), to safeguard sensitive business data and support enterprise governance requirements.
- Develop AI-powered solutions using Microsoft Copilot Studio to enhance productivity, automate business processes, and deliver intelligent conversational experiences.
- Partner with business leaders and cross-functional stakeholders to translate strategic objectives and business requirements into innovative data, automation, and AI-driven solutions.
- Champion digital transformation initiatives by combining analytics, automation, and AI technologies to improve operational efficiency, accelerate decision-making, and drive business growth.
- Foster a culture of data literacy, self-service analytics, and continuous innovation across the organization.
Requirements:
• Currently pursuing a Degree in Information Technology, Computer / Data Science, Information Systems, Artificial Intelligence, Cybersecurity or a related discipline. Prior internship, project or coursework exposure to IT support, helpdesk operations, desktop support, networking, systems administration or cybersecurity will be an advantage.
- Mandate to have experience with BI tools
- Grip over data analytics
- Should possess software development skills
- Knowledge of Scrum framework
• Analysing and designing process workflows; building, testing and implementing solutions; and ensuring quality of the end deliverables