The Wall Street Journal is seeking an experienced investigative data journalist to join its visuals team.
This person will be embedded with the investigative team, working closely with the Journals’ data chiefs, Rob Barry and Tom McGinty. This role involves web development, data analysis, reporting, writing, and programming, so the best candidate will have skills in all these areas and will be able to uncover new stories within data and produce robust analyses from large datasets.
The right candidate will have a demonstrable track record reporting and producing data-driven stories and interactive graphics at a news organization. In addition to analytical skills, the right candidate will be technically proficient in robust suite of digital tools intended to analyze big data, such as Excel, Access and SQL.
The ideal candidate will also possess knowledge in at least one scripting language related to data analysis, like Python, R, Ruby or Node, and knowledge of front-end programming like HTML, CSS and JavaScript. This job will be located in New York.
Applications should include a resume, cover letter and up to five published clips to Jessica Yu, editor, global visuals at Jessica.Yu@wsj.com
