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How much do data journalism intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for data journalism intern in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Journalism Intern, and why are they important?

To thrive as a Data Journalism Intern, you need strong research skills, foundational knowledge of journalistic principles, and proficiency in data analysis, usually supported by coursework in journalism or data science. Familiarity with data visualization tools (like Tableau or Flourish), spreadsheet software, and basic programming languages such as Python or R is often required. Curiosity, attention to detail, and effective communication are essential soft skills that help in investigating stories and presenting findings clearly. These abilities ensure the accurate, ethical, and compelling communication of complex data-driven stories to diverse audiences.

What are the typical daily responsibilities of a Data Journalism Intern?

As a Data Journalism Intern, you can expect your daily tasks to include collecting, cleaning, and analyzing datasets to uncover newsworthy stories. You'll collaborate closely with reporters and editors to identify compelling angles and contribute to data visualizations or interactive graphics. Additionally, you may assist in fact-checking, verifying sources, and preparing datasets for publication, all while learning newsroom workflows and data storytelling techniques. This role offers hands-on experience with both technical and journalistic skills in a dynamic team environment.

What does a Data Journalism Intern do?

A Data Journalism Intern assists in researching, analyzing, and visualizing data to support news stories and investigative reports. They work closely with reporters and editors to uncover patterns, trends, and insights from datasets, often using tools like Excel, Python, or data visualization software. The role may also involve cleaning and verifying data, creating graphics, and learning how to present complex information clearly for the public. Interns gain hands-on experience in both journalism and data analysis, contributing to impactful, data-driven storytelling.

What is the difference between Data Journalism Intern vs Data Analyst Intern?

AspectData Journalism InternData Analyst Intern
Required SkillsData analysis, storytelling, journalism ethicsData analysis, statistical skills, Excel, SQL
Work EnvironmentMedia outlets, newsrooms, online publicationsCorporate, finance, tech companies, research firms
Industry UsageMedia and journalism industryBusiness, finance, technology sectors

Both roles involve working with data, but a Data Journalism Intern focuses on storytelling and reporting through data in media settings, while a Data Analyst Intern emphasizes analyzing data sets to inform business decisions. The skills overlap in data handling, but their applications differ based on industry and end goals.

What cities are hiring for Data Journalism Intern jobs? Cities with the most Data Journalism Intern job openings:
What are the most commonly searched types of Data Journalism jobs? The most popular types of Data Journalism jobs are:
What states have the most Data Journalism Intern jobs? States with the most job openings for Data Journalism Intern jobs include:
Data Journalism Intern jobs near you
Stanford Rebele Data Science Intern, Summer 2026

Stanford Rebele Data Science Intern, Summer 2026

Hearst

New York, NY • Hybrid

Full-time

Posted 15 days ago

Hearst rating

6.7

Company rating: 6.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

48th of 64 rated media

Job description

Stanford Rebele Data Science Internship, Summer 2026

At Hearst Newspapers, data drives the way we engage millions of readers across our publications. We're looking for an ambitious intern to join our Data and Insights team, where you'll tackle real-world challenges in digital media, audience growth, and storytelling at scale.

This internship is paid through the Stanford Rebele Internship Program. To be eligible, candidates must be current Stanford University students. 

This internship will run from June 8 to August 14, 2026, and can be based in either California or New York.

This is an opportunity to shape strategic decisions by translating complex data into powerful insights. You'll work cross-functionally with newsrooms, marketing, and audience teams to help the business understand how audience development drives outcomes for the business. You'll help to answer questions like, "Do TikTok followers views lead to business outcomes", "What platforms attract our most valuable audiences?", "How do our users engage and interact with our investigative data-journalism projects, and does that engagement ultimately result in business outcomes".

You will work directly with both technical and non-technical users to translate business questions into data problems that our data can solve. That work will involve building ad-hoc reports and dashboards, conducting exploratory analysis, and modeling data to help solve business problems.

Working within the larger Data and Insights team, you will be collaborating with other analysts, data scientists, and data engineers to understand how a business intelligence team functions in a media organization as you learn to hone your data skills.

What You'll Gain
Hands-on experience working with BigQuery, Python, and large-scale datasets.
A front-row seat to the inner workings of a modern media company at the intersection of data and journalism.
The opportunity to present your findings to senior stakeholders - your insights will directly influence strategy.

Qualifications
Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University
Prior experience or internship with data analysis (as an analyst, in analytics, business intelligence or similar)
Familiarity with SQL (BigQuery preferred)
Familiarity with Python for data analysis
Strong verbal and written communication, especially when presenting to non-technical stakeholders

This is your chance to leave a mark on one of the largest digital news organizations in the country. If you're excited about data, media, and real-world impact, we'd love to hear from you!

HNP Overview:
With 2,500 employees across the nation, Hearst Newspapers (HNP) represents a network of 28 daily and 50 weekly publications, including the Austin American-Statesman, Houston Chronicle, San Antonio Express-News, San Francisco Chronicle and Times Union (Albany). Our portfolio also includes several top digital-only news and lifestyle sites such as Chron., CT Insider, MySA and SFGATE, along with marketing services businesses like Medium Giant and entertainment brands such as King Features Syndicate.

At HNP, we're investing in new and innovative ways to tell stories - growing newsrooms, diversifying tools and evolving platforms - to support the millions of people who trust us each month to help them make decisions, take action and be inspired.

Be part of something bigger - Your Headline Awaits

#LI-DH1

#LI-Hybrid

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