As a Data Journalist, you find and tell stories hidden in data — scraping, analyzing, and visualizing numbers, then turning them into reporting people can grasp. Where investigation meets the spreadsheet.
Find the data, clean it, analyze it, then build the story and visuals around what it shows — working with editors and sometimes developers, on deadlines from a day to months. Getting the analysis right under deadline is the craft, and a misread number becomes a public correction, so rigor matters as much as narrative.
The harder part is doing real analysis on journalism's clock — data is messy, deadlines are tight, and you have to be both accurate and compelling. The field is competitive and unstable, tools keep changing, and what's findable in the data limits the story. Newsrooms vary widely in support and resources.
It tends to fit someone analytical, curious, and able to write as well as compute. If you need stability or hate deadlines, the field can be rough. But if uncovering a story no one could see without the data is the draw, the work can be genuinely exciting.
Where this role sits in the broader career landscape — and where it can take you.
Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
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