Data Analytics Intern (Hybrid, Part-Time) — R/Python & Tableau

LL Global, Inc.; Windsor (CT); Hybrid; USD 25,000 - 39,000; Part time

Job summary

LL Global, Inc. is seeking a currently enrolled college student to join the Research Data Services department as a Data Analyst Intern.

This temporary, part-time hybrid internship offers hands-on experience while you complete your degree. You will work with data analysts on data exploration, validation, editing, analysis, and visualization, building dashboards in Tableau, and developing Python/R programs to streamline processes.

Qualifications

• Current enrollment in a Bachelor’s degree program (junior or senior year) in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science, or related STEM field.
• Authorized to work in the United States without current or future employer sponsorship.
• Available to work a part‑time schedule throughout the internship period.
• Basic knowledge of programming concepts, statistical measures, and techniques.
• Basic knowledge of R or Python.
• Experience in Microsoft Office and basic knowledge of Excel.
• Strong analytical and organizational skills.
• Good written and oral communication skills.

Responsibilities

• Assist in data exploration, validation, editing, analysis, and visualization.
• Build and maintain interactive dashboards (Tableau) and data visualizations.
• Develop programs in Python or R to streamline manual data processes.
• Provide production support for ad hoc data requests and collaborate with researchers.

Skills

Python

R

Data analysis

Excel

Education

Bachelor’s degree program (junior or senior year) in Data Science, Statistics, Computer Science, Mathematics, Actuarial Science

Tools

Tableau

Power BI

SQL

SAS

Job description

LL Global, Inc. is seeking a currently enrolled college student to join the Research Data Services department as a Data Analyst Intern.

This temporary, part-time hybrid internship offers hands-on experience while you complete your degree. You will work with data analysts on data exploration, validation, editing, analysis, and visualization, building dashboards in Tableau, and developing Python/R programs to streamline processes.