Data Journalism Career in the UK | UK JournoHub

Last reviewed: 17 May 2026Next review due: 17 November 2026

What a data journalist actually does

A data journalist finds stories in numbers. That means obtaining datasets — through FOI requests, government data portals, company accounts, court records, or proprietary databases — cleaning and analysing them, and then turning the findings into journalism that audiences can understand and that editors will publish. The best data journalism makes complex data sets legible through clear writing and well-designed visualisations.

Data journalism in the UK sits across a spectrum: at one end, a regional reporter who uses spreadsheets to analyse FOI returns; at the other, a graphics developer at a national outlet writing Python scrapers to analyse hundreds of thousands of court records. Most working data journalists operate somewhere in between, combining solid spreadsheet skills with visualisation tools, confident FOI use, and strong reporting instincts.

The data journalism skills stack

Foundation (all data journalists)

✓Excel and Google Sheets — pivot tables, VLOOKUP, filtering, sorting, basic formulas
✓FOI mastery — knowing what to request, how to frame requests, and how to appeal refusals
✓Datawrapper and Flourish — the standard visualisation tools for UK news organisations
✓Data cleaning — recognising and handling messy, incomplete, or inconsistent data

Intermediate (most data roles)

✓SQL basics — querying databases, joining tables, filtering and aggregating data
✓OpenRefine — data cleaning at scale
✓QGIS or Mapbox — for mapping and geographic data journalism
✓Understanding of statistical concepts — averages, medians, rates, significance

Advanced (senior and specialist roles)

✓Python (Pandas, BeautifulSoup, Selenium) — data analysis and web scraping
✓R — statistical analysis, ggplot2 for visualisation
✓D3.js — custom interactive data visualisations for web publication
✓Web scraping and API use — automated data collection at scale

When data journalism skills open doors

1Applying for any data or visual journalism role at a national or major regional outlet — these roles are still relatively rare and well-paid.
2Differentiating yourself as a general reporter by using data analysis in your regular reporting.
3Investigating public interest stories that require analysis of large datasets — FOI responses, government spending, court records.
4Bureau Local collaborations — data skills open you up to funded collaborative journalism projects.
5Freelance pitching — a story backed by your own original data analysis is far easier to sell than a tip-off.

Major UK data journalism teams

Guardian Visuals

One of the UK's most respected data and visuals teams. Produces interactive features, data investigations, and graphics across the Guardian's print and digital platforms.

BBC Shared Data Unit

Produces data journalism for regional audiences, shared across LDRS partners. A training ground for data journalists working on local accountability issues at national scale.

Bureau Local (BIJ)

Collaborative data journalism network. Runs training, coordinates national investigations, and publishes through regional partners. Open to journalists across the UK.

FT Visual & Data Journalism

The Financial Times has an internationally recognised data journalism and visualisation team. Roles are senior and competitive but the team is among the most innovative in the world.

BBC News (data team)

Various data and stats journalists work across BBC News programmes and online output, including the Reality Check team and dedicated health and science data roles.

The Times / Sunday Times

Data-driven investigations team with a strong track record in health and public services data journalism.

Red flags in data journalism

Using percentages without checking absolute numbers — a 100% increase from 1 to 2 is not a story.
Presenting correlation as causation in data analysis without appropriate caveats.
Using imprecise language like "soared" or "plummeted" for changes that are statistically modest.
Ignoring the methodology of datasets you are using — what is actually being measured and how?
Using pie charts for more than three categories — a classic data visualisation error that editors notice.
Not checking your FOI data against the original source for errors or misclassifications.
Assuming publicly available government data is accurate and complete without checking methodology notes.

Data journalism career checklist

Confident with Excel and Google Sheets — pivot tables, VLOOKUP, basic formulas.
Have submitted at least five FOI requests and received responses.
Have produced at least one data visualisation using Datawrapper or Flourish.
Have completed at least one free data journalism course (IRE, GIJN, EJC/GNI).
Have a published data story — even at a student or hyperlocal level.
Understand the difference between mean and median and when each is appropriate.
Have a public portfolio including at least two data-driven stories or projects.
Have joined the Data Journalism UK community or Bureau Local network.

Tools and training for data journalists

Use our training resources to build your data skills, and explore our tools for FOI and freelance data journalism work.

Training Hub FOI and Journalism Tools

Common mistakes in data journalism careers

Over-prioritising coding at the expense of journalism instincts — the story comes first.
Building elaborate visualisations without checking whether the underlying data is reliable.
Not explaining your methodology — data journalism requires showing your working.
Ignoring FOI as a data source — government data portals are not the only route to analysis.
Treating Python or R as a prerequisite before developing spreadsheet and FOI skills.
Not publishing your data or methodology alongside the story — transparency is a professional standard.
Skipping the statistics fundamentals — understanding confidence intervals and sample sizes is not optional.

Related guides

Investigative Journalism Career

FOI, OSINT, and long-form investigations — the skills overlap significantly with data journalism.

Choosing a Specialist Beat

Data journalism is increasingly a specialism in its own right.

Freelance vs Staff Journalism

Data journalists can command strong freelance rates.

Multimedia Journalism Skills

Data visualisation as part of the multimedia journalist skill set.

Primary sources

Frequently asked questions

Do I need to know how to code to be a data journalist?

Not necessarily at entry level. Strong spreadsheet skills (Excel/Google Sheets), proficiency with data visualisation tools like Datawrapper and Flourish, and confident FOI use can get you into many data journalism roles. Python and R are increasingly expected at more senior positions or for complex data analysis, but many working data journalists operate primarily with spreadsheets and visualisation tools. Learning SQL basics is a high-value addition that opens up database reporting.

What is the Bureau Local and how do I get involved?

The Bureau Local is the Bureau of Investigative Journalism's collaborative data journalism project, which networks freelance and staff data journalists across the UK to produce local accountability investigations. It runs free training events, collaborations open to journalists across the country, and publishes data-driven investigations with regional angles. Joining as a participating journalist is a good way to build data skills in a collaborative environment and get published work at scale.

What are typical salaries for data journalists in the UK?

Data journalists command a premium over generalist reporters. Entry-level data journalism roles at regional outlets or digital-first publishers typically start at £24,000–£32,000. Data reporters and data journalists at national outlets including the Guardian, FT, and BBC typically earn £35,000–£55,000. Senior data editors and graphics editors at major outlets can earn £55,000–£75,000 or above. Freelance data journalists can charge £300–£600 per day depending on specialism and outlet.

What is the BBC Shared Data Unit?

The BBC Shared Data Unit (SDU) is a BBC-funded team of data journalists embedded in a regional publisher that produces data-driven news analysis shared across the BBC and LDRS partner outlets. It was one of the first major UK experiments in collaborative data journalism at a regional scale. The SDU regularly produces national-scale data investigations broken down to a local level, which is then shared with regional publishers across the country. It has trained and employed a significant number of UK data journalists.

Where can I learn data journalism skills for free?

Investigative Reporters and Editors (IRE) offers free online data journalism training including spreadsheet fundamentals and CAR (Computer Assisted Reporting) courses. The Global Investigative Journalism Network (GIJN) publishes free guides and hosts training. The ONS (Office for National Statistics) runs free data literacy training. The European Journalism Centre and Google News Initiative both offer free data journalism courses. The BBC Academy has free digital and data journalism resources available online.