| Date Posted | June 16, 2025 |
|---|---|
| Industry | Newspapers, Digital Media |
| Specialty | Not Specified |
| Job Status | Full-time |
| Salary | Not Specified |
Description:
One of the newsiest – and most fun – cities in America needs a data reporter who can pull key insights out of complex databases, use data to bolster investigations and distill dense numbers into reader-friendly copy and graphics.
The Times-Picayune | The Advocate is looking for a nimble data reporter to join our investigative team. The person in this role should be comfortable requesting data, creating databases, analyzing them and using those to create excellent journalism.
We are looking for a self-starter who is comfortable taking the lead on data journalism across our platforms.
Our data reporter will work with both short-term and long-term stories and deadlines, as they will both contribute to daily coverage and to our ongoing investigations and projects. While their job will be primarily data-driven, they should have sound news judgement and understanding of how to deepen news coverage with data.
We are looking for someone with:
-Prior professional journalism experience
-The ability to use tools such as Python, SQL or R to scrape, clean and analyze data
-Familiarity with using GIS and mapping data
-Interest in finding stories and insights from dense databases that cover a range of topics, from crime to education to Census figures
-A collaborative nature and willingness to work closely with reporters, our graphics editor and our digital team for online data displays
-High journalism standards for accuracy and accountability, including a willingness to ensure your databases are bulletproof
We are the largest news organization in the state, with newsrooms that work collaboratively across New Orleans, Baton Rouge, Acadiana and Shreveport. Our data reporter can be based in any of those cities but should be willing to work with reporters across our markets.
Applicants should send in their resume, cover letter and examples of three different stories they’ve worked on with data elements and explain their role in crafting each of those. Please send them (and any questions) to Investigations Editor Andrea Gallo at [email protected].
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