Intern Data

Company Description PPStack is a global EdTech brand focused on reimagining the future of education by empowering students, professionals, and organizations with skills for the digital era. The company combines artificial intelligence, 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 opportunities. Its ecosystem includes AI-powered learning platforms, crash courses, corporate training, career coaching, digital branding, technology consulting, and research in learning technologies. Trusted by learners worldwide, PPStack drives transformation across education, careers, digital growth, and technology innovation.
Role Description This full-time remote Intern Data role at PPStack supports data-driven decision-making across education, career, and digital programs. Day-to-day responsibilities include collecting, organizing, and maintaining datasets from various platforms and learning solutions; performing exploratory data analysis to identify trends and insights; and assisting in building basic data models and reports to support product, curriculum, and career services teams. The intern will help prepare dashboards and visualizations, ensure data quality and consistency, and document processes and findings for internal stakeholders. Collaboration with mentors and cross-functional teams is expected to support ongoing analytics projects and contribute to improving learner outcomes and operational efficiency.
Qualifications
Candidates should possess skills in Data Analysis and Data Analytics for exploring datasets, identifying patterns, and generating insights.
Candidates should possess skills in Data Management for organizing, cleaning, and maintaining structured and unstructured data.
Candidates should possess skills in Data Modeling for building basic models, defining data structures, and supporting reporting needs.
Candidates should possess strong Analytical Skills for problem-solving, interpreting results, and supporting data-driven decisions.
Familiarity with tools such as Excel/Google Sheets, SQL, or Python (Pandas) is beneficial.
Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field is preferred.
Ability to work independently in a remote environment, manage time effectively, and communicate findings clearly to non-technical stakeholders.
Interest in EdTech, AI, and career-focused learning solutions, with a willingness to learn and adapt to new technologies and methods.

Work arrangement
No