Data Visualization & News Analytics Intern — Summer

Financial Advisor IQ; New York (NY); Hybrid; USD 30,000 - 33,000; Part time

Benefits offered by this job

Mentorship program

Paid internship

Buddy system

Job summary

The Financial Times is seeking motivated interns to join the US data journalism team. You will contribute to data visualization, data analysis and enterprise reporting, working across the paper to produce quantitative storytelling and visual features.

You will be part of a small, interdisciplinary group focusing on empirical reporting, with a buddy mentor and collaboration with colleagues in London and New York. This paid internship includes structured learning and editorial feedback.

Qualifications

• Some experience creating clear and engaging graphics (Flourish, Datawrapper, ggplot2).
• Some experience analysing datasets in a journalism context.
• Strong writing and communication skills; reporting/writing news is an advantage.
• Familiarity with US data sources, especially financial, economic, and political data.
• Programming fluency in a language of your choice is an advantage.
• Knowledge of business, economics and financial markets is an advantage.

Responsibilities

• Source, collect and clean data for news stories and other pieces.
• Create data graphics and perform analyses, often on deadline.
• Collaborate with US data team and London data colleagues on larger projects.
• Work closely with beat reporters to conceive and create effective graphics.
• Pitch and produce original pieces for editors in New York and London.

Job description

The Financial Times is seeking motivated interns to join the US data journalism team. You will contribute to data visualization, data analysis and enterprise reporting, working across the paper to produce quantitative storytelling and visual features.

You will be part of a small, interdisciplinary group focusing on empirical reporting, with a buddy mentor and collaboration with colleagues in London and New York. This paid internship includes structured learning and editorial feedback.