Data Management Intern

Company Description Global Education Alliance (GEA), founded in 2004 and headquartered in Hong Kong, is a technology-driven education solutions provider focused on redefining international student recruitment through a fully digitalized, data-driven approach. With over 5,000 channel partners across Asia and 750+ institutional partners in 21 countries, GEA supports tens of thousands of applications and enrollments each year. Its AI-powered platform streamlines institution selection, application processing, and enrollment management, delivering personalized and predictive experiences for students, consultants, and institutions. GEA maintains a strong global presence across East Asia, Southeast Asia, Oceania, North America, and Europe, including major study destinations such as Australia, New Zealand, Canada, and the United Kingdom. As a pioneer in digital transformation for global education, GEA leverages technology and innovation to expand access, choice, and success in international student mobility.

Role Description This is a full-time, on-site Data Management Intern role based in Chandigarh. The intern will assist in maintaining and updating student, partner, and institutional data within GEA’s data systems and platforms, ensuring accuracy, completeness, and consistency. Day-to-day tasks include supporting data quality checks, validating and cleansing records, and helping implement data governance practices aligned with organizational standards. The role also involves contributing to master data management activities, preparing basic reports and dashboards, and collaborating with cross-functional teams to resolve data issues. The intern will gain exposure to data-driven operations in global education and support process improvements that enhance data reliability and decision-making.

Internship Duration- 2-3 Months

Qualifications

• Candidates should possess skills in Data Governance and Data Management to support structured data handling and compliance with internal policies.
• Candidates should possess skills in Data Quality and Master Data Management to ensure accurate, consistent, and reliable data across systems.
• Strong attention to detail, organizational skills, and the ability to manage multiple tasks in a fast-paced, data-driven environment.
• Effective written and verbal communication skills and the ability to work collaboratively with diverse, multicultural teams.