Data Analyst Intern

Job Description

We’re hiring Data Analytics Interns who can work independently on real-world problems using structured thinking and data-driven insights. This challenge reflects how we work: starting from problem understanding to delivering actionable outcomes. Your Challenge Choose one of the following real-world problem statements and perform a full data analysis project. Choose one Topic from below : Food Waste Optimization in Supermarkets School Dropout Risk Analysis Smart Water Usage in Urban Homes City Budget Allocation vs Public Outcomes Fake Product Detection in Online Marketplaces Gender Bias in Hiring or Promotions 7. Public Transport Impact on City Pollution Follow This Analysis Flow To reflect a real analytics pipeline, your project should include the following: 1. Problem Framing & Hypothesis Define the problem clearly Set goals, KPIs, and any testable hypotheses 2. Descriptive Analysis Clean and prepare your data Explore distributions, trends, and correlations using visual and statistical summaries Present key patterns and summaries 3. Diagnostic Analysis Go deeper: compare groups, segment users/items, identify anomalies Explore potential reasons behind trends or behaviors 4. Inferential or Predictive Analysis Apply relevant models (e.g., classification, regression, clustering, statistical inference) Evaluate performance and interpret the model output If no modeling is needed, include strong inferential reasoning 5. Prescriptive Insights Translate your findings into clear recommendations Suggest strategies, optimizations, or interventions based on your analysis 6. Storytelling & Delivery Use visuals and simple language to communicate your work Summarize your conclusions for both technical and non-technical audiences What to Submit A Jupyter Notebook (or Excel / Power BI / Tableau Dashboard) A 1–3 page PDF Report summarizing your work and recommendations (Optional) Link to GitHub or Google Drive folder with full project files Where to Find Data You may use open datasets from or any legitimate dataset you find in Internet: Kaggle OpenAQ Amazon Reviews Dataset OpenBudgets.eu World Bank & UNESCO Education Data Or simulate data based on realistic assumptions Submission Instructions Email to: info@gigaversity.in Subject Line: Data Analytics Internship – [Your Name & resume ] Deadline: 22nd June -2025 - for any extensions please write a detailed email on the project and explaining the delay in submission we will consider . Top Candidate will receive A paid internship offer A chance to work on real business or policy challenges Potential full-time opportunity based on performance in 6 months Show more Show less