Intern Data Analyst

Company Description PPStack is a global EdTech brand focused on reimagining the future of education by equipping students, professionals, and organizations with skills to thrive in the digital era. The company combines artificial intelligence, modern technology, and innovative teaching methods to deliver smarter, faster, and more impactful learning experiences. PPStack’s mission is to bridge the gap between education and industry through future-ready skills, digital empowerment, and career transformation programs. Its ecosystem includes AI-powered learning platforms, crash courses, corporate training, career coaching, digital branding, and technology consulting. PPStack is trusted by learners worldwide and is actively driving transformation in education, careers, digital growth, and technology innovation.
Role Description The Intern Data Analyst role is a full-time remote position supporting data-driven decision-making across PPStack’s EdTech, career, and digital services. Day-to-day responsibilities include collecting, cleaning, and organizing data from various platforms and programs, as well as performing basic data analysis to uncover trends and insights. The intern will assist in building and maintaining reports and dashboards, contribute to data modeling and validation activities, and support research and analytics projects related to learner performance and business outcomes. The role also involves collaborating with cross-functional teams to interpret findings, preparing clear visualizations and summaries, and documenting methods and results to ensure transparency and knowledge sharing.
Qualifications
Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities for interpreting and solving data-related problems.
Candidates should possess a basic understanding of Statistics to perform descriptive analysis and support hypothesis-driven insights.
Candidates should possess Data Modeling skills to help structure data for reporting, dashboards, and exploratory analysis.
Candidates should possess clear Communication skills to present findings to both technical and non-technical stakeholders.
Additional beneficial qualifications include familiarity with tools such as Excel, Google Sheets, or BI platforms; exposure to SQL or Python; attention to detail; willingness to learn; and the ability to work independently in a remote, collaborative environment.
Enrollment in or completion of a degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field is preferred but not mandatory.

Work arrangement
Yes