Opportunity brief
Key Responsibilities Collect, clean, and organize data from multiple sources (CRM, LMS, website analytics, enrollment databases) Build and maintain dashboards and reports using Excel, Google Sheets, Power BI, or Tableau Perform exploratory data analysis (EDA) to identify trends in student enrollment, retention, and course completion Write SQL queries to extract and analyze data from relational databases Support A/B testing and campaign performance analysis for marketing and admissions teams Present findings through clear visualizations and actionable recommendations to stakeholders Automate repetitive reporting tasks using Python (Pandas, NumPy) or Excel macros Collaborate with cross-functional teams (product, marketing, operations) to define KPIs and metrics Required Skills Strong understanding of Excel/Google Sheets (pivot tables, VLOOKUP, formulas) Working knowledge of SQL for data querying Basic to intermediate proficiency in Python (Pandas, NumPy) or R for data analysis Familiarity with data visualization tools like Power BI, Tableau, or Google Data Studio Analytical mindset with strong attention to detail Good communication skills to present data insights clearly Currently pursuing or recently completed a degree in Statistics, Computer Science, Economics, Mathematics, Data Science, or related field Good to Have Experience with statistics and hypothesis testing Exposure to machine learning basics Prior internship or project experience in data analytics Knowledge of Google Analytics or similar web analytics tools What You'll Gain Real-world experience solving business problems with data in a fast-growing EdTech startup Internship Certificate and Letter of Recommendation (LOR) based on performance Mentorship from experienced founders/data professionals Potential Pre-Placement Offer (PPO) for top performers Flexible working hours and remote-friendly culture Who Can Apply Students currently pursuing graduation/post-graduation (any stream, preference to Data Science/Statistics/CS/Commerce backgrounds) Freshers looking to start a career in data analytics