Data Analyst Intern

Company Description EON TECH (EONSR) is an AI-native business operations firm that helps enterprises adopt AI securely, responsibly, and at scale. As an OpenAI Select Partner with certified capabilities across Google Cloud, Google Marketing Platform, and Microsoft technologies, the company combines AI, cloud, data, and operational expertise to transform how organizations work and make decisions. EON TECH focuses on turning complex technology into practical solutions that deliver lasting business value.
Team members collaborate with leading enterprise clients on innovative projects that improve efficiency, insight, and growth.
Role Description The Data Analyst Intern role at EON TECH is a full-time, on-site position based in Ho Chi Minh City, Vietnam. The intern will assist in collecting, cleaning, and organizing data from various internal and external sources. Daily tasks include performing basic data analysis, generating reports and visualizations, and supporting data modeling activities under the guidance of senior team members.
The role involves working closely with cross-functional teams to clarify data requirements, document findings, and communicate insights that support operational and strategic decisions. The intern will also help maintain data quality standards and contribute to continuous improvement of analytics processes and tools.
Qualifications
Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities.
Candidates should possess knowledge of Statistics and comfort working with quantitative data.
Candidates should possess basic Data Modeling skills and an interest in learning modern data tools and frameworks.
Candidates should possess clear written and verbal Communication skills to present findings to technical and non-technical stakeholders.
Familiarity with spreadsheet tools (e.g., Excel or Google Sheets) and data analysis languages (e.g., SQL, Python, or R) is beneficial.
Current enrollment in or recent completion of a degree program in Data Science, Statistics, Computer Science, Business, or a related field is preferred.
Ability to work collaboratively on-site, manage time effectively, and learn in a fast-paced, AI-focused environment.