Data Analytics Intern - GitHub Repository Analysis

About This Role

We're seeking a motivated Data Analytics Intern to join our team and dive deep into GitHub repository data. You'll work with large datasets of software repositories, contributor activity, and development patterns to uncover actionable insights that drive our product and engineering decisions.

This is an excellent opportunity for students or recent graduates interested in data science, software analytics, and open-source ecosystems to gain hands-on experience with real-world data at scale.

What You'll Do

• Extract and analyze GitHub repository data using APIs and web scraping techniques
• Build automated data pipelines to collect repository metrics, commit histories, and contributor patterns
• Create compelling visualizations and dashboards to communicate findings to technical and non-technical stakeholders
• Conduct statistical analysis on code quality, development velocity, and project health metrics
• Research trends in programming languages, frameworks, and open-source project adoption
• Collaborate with engineering teams to identify metrics that matter for software development
• Present insights and recommendations to leadership based on your analysis

What You'll Learn

• Advanced GitHub API usage and repository mining techniques
• Large-scale data processing and analysis workflows
• Data visualization best practices for technical audiences
• Software development metrics and their business impact
• Experience with cloud-based analytics platforms
• Professional data science project management

Required Qualifications

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• Programming proficiency in Python or R with experience in data manipulation libraries (pandas, dplyr, etc.)
• Basic understanding of Git and GitHub workflows
• SQL knowledge for database querying and data extraction
• Data visualization experience (matplotlib, seaborn, ggplot2, Tableau, or similar)
• Strong analytical thinking and problem-solving skills
• Excellent written and verbal communication abilities
• Self-motivated with ability to work independently and manage multiple projects

Preferred Qualifications

• Experience with GitHub API, GraphQL, or other developer APIs
• Knowledge of software engineering concepts (code review processes, CI/CD, testing)
• Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools
• Experience with statistical analysis and hypothesis testing
• Background in machine learning or predictive modeling
• Previous internship or project experience in data analytics or software development
• Interest in open-source software and development communities

Technical Environment

You'll work with:

• Languages: Python, SQL, R
• Tools: Jupyter notebooks, Git, GitHub API

Application Requirements

Please submit:

• Resume highlighting relevant coursework and projects
• Cover letter explaining your interest in data analytics and software development
• Portfolio or GitHub profile showcasing data analysis projects (required)
• Optional: Link to a project analyzing any public dataset

Job Type: Full-time

Pay: ₹5,000.00 - ₹10,000.00 per month

Education:

• Bachelor's (Preferred)