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- Tasks: Track and analyse data on global topics to create engaging content for readers.
- Company: Leading news organisation in London with a strong reputation.
- Benefits: Flexible holidays, pension plan, and competitive benefits.
- Other info: Opportunity to work in a fast-paced environment with career advancement potential.
- Why this job: Join a dynamic newsroom and make an impact through data-driven storytelling.
- Qualifications: 7+ years in journalism, excellent writing skills, and data analysis tool knowledge.
The predicted salary is between 50000 - 70000 £ per year.
A prominent news organization in London is looking for a Data Editor to join their newsroom. The role involves producing utilities for readers by tracking and analyzing data on current global topics.
Candidates should have at least 7 years of journalism experience, excellent writing skills, and familiarity with data analysis tools such as R, Python, or SQL.
The position offers competitive benefits including flexible holiday and a pension plan.
Data Editor — Deep Dive News Analytics & Visuals employer: Daily Mail
Contact Detail:
Daily Mail Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Editor — Deep Dive News Analytics & Visuals
✨Tip Number 1
Network like a pro! Reach out to your contacts in the journalism and data analysis fields. Attend industry events or webinars to meet potential employers and get your name out there. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with data analysis and visualisation. Use platforms like GitHub to share your projects or even start a blog where you discuss current global topics through data. This will make you stand out!
✨Tip Number 3
Prepare for interviews by practising common questions related to data journalism. Be ready to discuss your experience with tools like R, Python, or SQL. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive job listings that you won’t find anywhere else. So, keep an eye on our site for the latest opportunities!
We think you need these skills to ace Data Editor — Deep Dive News Analytics & Visuals
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 7+ years of journalism experience in your application. We want to see how you've tackled data-driven stories and what tools you've used, like R, Python, or SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data journalism and how you can contribute to our newsroom. Keep it engaging and personal!
Tailor Your CV: Don’t just send a generic CV. Tailor it to the Data Editor role by emphasising relevant skills and experiences. We love seeing how your background aligns with what we’re looking for!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Daily Mail
✨Know Your Data Tools
Make sure you brush up on your skills with R, Python, or SQL before the interview. Be ready to discuss how you've used these tools in your previous roles to analyse data and create compelling stories.
✨Showcase Your Journalism Experience
With at least 7 years of journalism experience required, prepare to share specific examples of your work. Highlight projects where you’ve successfully tracked and analysed data on global topics, and how that impacted your reporting.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle real-world data scenarios. Think about how you would approach a current global topic, what data you would track, and how you would present it to readers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the organisation. Inquire about their current data projects or how they envision the Data Editor contributing to their newsroom.