Data Analytics Intern - Python, BI & Automation (Onsite NJ)

Launch Abroad; Hamilton, Northern (NJ, KY); Hybrid; USD 21,000 - 26,000; Part time

Job summary

Launch Abroad is seeking analytical and technically skilled Data Analytics Interns in Hamilton, New Jersey, onsite. You will support business analysis, reporting, and technology-driven projects within a growing consulting and implementation environment, focusing on data, automation, and process optimization.

The role emphasizes Python scripting, data cleaning, dashboard prep, and collaboration with cross-functional teams.

Qualifications

• Pursuing or recently completed degree in relevant fields such as data analytics or CS.
• Strong Python proficiency.
• Strong analytical and problem-solving abilities.
• Attention to detail and organization.
• Clear English communication.

Responsibilities

• Analyze and interpret business and operational data
• Develop scripts and automation solutions using Python
• Assist with data cleaning, reporting, and dashboard preparation
• Support data-driven decision-making and process optimization initiatives
• Collaborate with technical and operational teams on analytics projects
• Identify trends, patterns, and actionable insights from datasets
• Assist with documentation and presentation of analytical findings
• Support internal reporting and business intelligence activities

Skills

Python

Analytical thinking

English communication

Excel

Databases

Education

Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Engineering

Tools

SQL

Power BI

Tableau

Pandas

NumPy

Job description

Launch Abroad is seeking analytical and technically skilled Data Analytics Interns in Hamilton, New Jersey, onsite. You will support business analysis, reporting, and technology-driven projects within a growing consulting and implementation environment, focusing on data, automation, and process optimization.

The role emphasizes Python scripting, data cleaning, dashboard prep, and collaboration with cross-functional teams.