Job Description

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)