Visual Investigations Intern: Data, OSINT & Maps

Dow Jones; New York (NY); Hybrid; USD 39,000 - 41,000; Full time

Job summary

The Wall Street Journal offers a 10-week internship in New York for college juniors and graduate students, focusing on data-driven visual investigations and OSINT-driven reporting. You will work with journalists to verify digital evidence, build interactive graphics, and contribute to editorial projects across platforms.

Qualifications include strong data handling, scraping unstructured data, and familiarity with Python, R, SQL, and JavaScript-related tools.

Qualifications

• An analytical approach to journalism, with experience cleaning, analyzing, and visualizing data to support reporting.
• The ability to scrape and mold unstructured data using tools like Python, R and SQL.
• Familiarity with JavaScript, D3.js, 3D modeling, animation, video editing and open-source reporting techniques such as geolocation, video and photo verification is a significant bonus.

Responsibilities

• Contribute reporting, data analysis, open-source reporting and visual verification to ambitious investigative projects and quicker-turn visual stories.
• Work cross-functionally with reporters and editors across the newsroom.
• Be immersed in audience-first visual storytelling that aims to reveal critical information through maps, video, satellite imagery, and interactive graphics.
• Gain hands-on experience analyzing large datasets and utilizing OSINT to verify digital evidence and uncover hidden truths while maintaining rigorous editorial standards.

Skills

Data analysis

OSINT

Geolocation

Video verification

Tools

Python

R

SQL

JavaScript

D3.js

Job description

The Wall Street Journal offers a 10-week internship in New York for college juniors and graduate students, focusing on data-driven visual investigations and OSINT-driven reporting. You will work with journalists to verify digital evidence, build interactive graphics, and contribute to editorial projects across platforms.

Qualifications include strong data handling, scraping unstructured data, and familiarity with Python, R, SQL, and JavaScript-related tools.