Bloomberg

Data Visualisation Weekend Editor, London

Bloomberg

London, UK
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you passionate about turning complex data into compelling visual stories? Do you have a keen eye for design and a knack for interpreting numbers? Bloomberg is seeking a talented Data Visualisation Weekend Editor in London to join our team of innovative journalists. In this role, you will have the opportunity to work with cutting-edge data and create visually stunning, informative graphics that shape the way our readers understand the world. We are looking for a creative, detail-oriented individual with a strong background in data analysis and visual communication. If you are a data-driven storyteller with a passion for breaking news and a desire to make an impact, we want to hear from you.

  1. Research and analyze complex data to identify key insights and trends.
  2. Collaborate with journalists and editors to identify and develop data-driven stories.
  3. Use design software and tools to create visually compelling graphics and visualizations.
  4. Ensure accuracy and integrity of data used in visualizations.
  5. Stay up-to-date on industry trends and best practices in data visualization.
  6. Work on tight deadlines to produce high-quality visual content for breaking news stories.
  7. Communicate effectively with team members and editors to understand project requirements and expectations.
  8. Continuously develop and enhance skills in data analysis, design, and visual storytelling.
  9. Collaborate with data engineers and developers to create interactive visualizations for digital platforms.
  10. Contribute to the overall visual style and standards of the news organization.
  11. Ensure compliance with company policies and ethical standards in handling sensitive data.
  12. Proactively seek opportunities to use data and visualizations to enhance storytelling and engage readers.
  13. Stay organized and manage multiple projects simultaneously.
  14. Participate in team meetings and share insights and ideas for data-driven stories.
  15. Continuously monitor and improve the quality and impact of visual content.
Where is this job?
This job is located at London, UK
Job Qualifications
  • Bachelor's Degree In Journalism, Data Science, Or A Related Field.

  • Minimum Of 3 Years Of Experience In Data Journalism Or Data Visualization.

  • Proficiency In Data Visualization Tools Such As Tableau, D3.Js, Or Adobe Illustrator.

  • Strong Understanding Of Financial Markets And Ability To Interpret And Present Complex Data.

  • Excellent Writing And Editing Skills With A Keen Eye For Detail And Accuracy In Data Analysis.

Required Skills
  • Graphic Design

  • Data Analysis

  • statistical analysis

  • Data Manipulation

  • Data Mining

  • Data integration

  • Data Mapping

  • Data presentation

  • Data Interpretation

  • Visualization techniques

  • Data storytelling

  • Graphic illustration

Soft Skills
  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Organizational skills

  • Teamwork

  • Communication Skills

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Data Visualisation Weekend Editor, London in London, UK is between £30,000 and £50,000 per year. This may vary depending on factors such as the employer, level of experience, and specific job responsibilities.

Additional Information
Bloomberg is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 30th, 2024
Apply BeforeMay 22nd, 2025
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About Bloomberg

Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.

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