Data Visualization Journalist
2 months ago
Unlock Your Potential as a Data Visualization Journalist
The Hearst Fellowship, Data Visualization Track is a one-year program designed to equip you with the skills and expertise needed to excel in the field of data-driven journalism. As a member of our team, you will work closely with our DevHub, a collaborative environment where engineers, developers, designers, project managers, and content strategists come together to create innovative digital experiences.
What You'll Do
- Produce high-quality journalism centered on data, visuals, and interactivity, in collaboration with local data and graphics teams.
- Work with newsrooms to develop best practices for data analysis and visualization, and help them create ambitious interactive experiences.
- Enrich existing tools and trackers with fresh approaches to data analysis and visualization.
- Improve and maintain a suite of tools and templates that newsrooms use to tell visual stories and produce interactive projects.
Why Join Our Team?
The Hearst Fellowship is an excellent opportunity to jump-start your career in journalism. Our program is designed to recruit, train, and retain journalists who have experience with data, graphics, front-end digital design, or back-end development. As a Hearst Fellow, you will receive training, mentoring, and real-world experience alongside top journalist-programmers who use cutting-edge tools and strategies to tell stories.
What We Offer
As a full-time employee of Hearst Newspapers, you will receive a competitive salary, benefits, including health insurance, relocation allowance, and a housing stipend. You will also have the opportunity to develop mentoring relationships with seasoned professionals throughout Hearst Newspapers.
How to Apply
To be considered for the Fellowship program, please submit your application in PDF format, including a one-page resume and a one-page document with three work/character references and links to digital work samples. The deadline to apply is January 6, 2025.
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