ABOUT US

Never before has the public shown such interest in data-driven journalism, and RADAR is at the forefront of engaging readers with the numbers they need to know.
We’ve established ourselves as a relied-upon service in local newsrooms across the UK, and we are now looking for a Senior Data Journalist who can deliver high-quality, impactful stories.
We are looking for an experienced writer who knows how to turn complex datasets into accessible journalism. You’ll cover some of the most pressing stories in the news cycle, as well as carry out longer-term investigations and special projects.
Our reporters are among the best in the business, often leading news coverage across local publications. Our work is at the cutting edge of AI-led journalism, and Future Today Institute’s 2023 Tech Trends report recognised RADAR as “one to watch”.
If you are a journalist with a strong grasp of data, an eye for detail, and the ability to tell powerful stories with numbers, we’d love to hear from you.

KEY RESPONSIBILITIES

As Senior Data Journalist, you will:

• Deliver clean, concise and compelling copy to deadline for use across news outlets and clients in the UK.
• Generate original stories from datasets, spotting trends and finding angles relevant to local and national audiences.
• Use data, code and visualisation tools to create engaging and accurate journalism.
• Carry out in-depth research and interviews to support your stories.
• Lead on longer-term investigations and special projects.
• Mentor and support colleagues by sharing expertise in data journalism and digital tools.
• Use AI and natural language generation software to help bring stories to life at scale.
• Contribute to maintaining high editorial standards across all outputs.

To be able to deliver this role successfully you will need:

• A strong news sense and understanding of issues affecting diverse local news readerships.
• Clean copy writing, and the ability to deliver copy to deadlines.
• Strong experience working with numbers, including analysing complex datasets and identifying trends.
• Strong Microsoft Excel skills
• Experience of data wrangling using programming languages such as R or Python
• Experience with data visualisation tools such as Flourish or Datawrapper, or packages such as ggplo