Kerja Sepenuh Masa, Data Analyst Intern di Lenovo Central Region (Singapore) - Maukerja

Job Description

As a Data Analyst Intern, you will support the development of data-driven insights and AI-enabled solutions that help improve business decision-making. You will work alongside experienced professionals on projects involving data integration, analytics, machine learning, generative AI, and dashboard development. This role offers hands-on exposure to end-to-end analytics projects, from data preparation and analysis to presenting findings to business stakeholders.

Key Requirements

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Analytics, Engineering, or a related field.
• Basic understanding of data modeling, database concepts, and data integration from multiple sources.
• Familiarity with statistical analysis and machine learning concepts, including trend analysis, anomaly detection, clustering, and predictive analytics.
• Experience with Python, SQL, R, or similar programming languages through coursework, projects, or internships.
• Interest in Artificial Intelligence, Natural Language Processing (NLP), and Large Language Models (LLMs).
• Exposure to data visualization and dashboarding tools such as Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills and ability to present findings to both technical and non-technical audiences.
• Self-motivated, curious, and eager to learn in a fast-paced environment.

What You Will Gain

• Hands-on experience working on real-world analytics, machine learning, and AI projects.
• Exposure to modern data architecture, dashboard development, and business intelligence tools.
• Opportunity to experiment with Generative AI and LLM technologies in practical business use cases.
• Experience collaborating with cross-functional teams and engaging with business stakeholders.
• Mentorship from experienced data, analytics, and technology professionals.
• Development of technical, analytical, and presentation skills that will prepare you for a career in data analytics, data science, or AI.