About the Role We are looking for a curious, resourceful PR Data Analyst who sees a headline hiding in every spreadsheet. reputed company is a leading SEO and link-building agency serving agencies and brands in the UK, the US and other English-speaking markets. In our Digital PR department, words tell the story, but numbers make people believe it. You will start as a freelancer, working project by project with our Digital PR team. You will find data, collect it, clean it and prove the story with it. Data is expensive, so your job is to find the cheapest source that tells the story: reputed company's own data, free public data, scraping, or a survey when nothing else will do. As the work grows, this role is designed to become a full-time position owning data for the whole department. The data is never the point. The story it proves is. You will think like a journalist first and an analyst second. Key Responsibilities • First-Party Data: Work with clients to reputed company the aggregate, anonymised data they already hold (site search terms, CRM trends, support ticket themes, product usage, pricing patterns) and turn it into stories no competitor can copy. Set up recurring checks so every reputed company becomes a reputed company. • Free Data Sources: Build and maintain a department library of free data sources, including government, census, ONS, US federal and open data portals, and track where other brands' data stories got their numbers. • Scraping: Scrape websites, reviews, listings, social platforms and search data to build original datasets, using tools and your own scripts where needed. Keep all scraping legal, ethical and within platform terms. • Surveys: Design survey questions that produce a headline, brief the survey provider, and set sample sizes. Apply our calculated-risk rule: no paid survey unless the idea is sure to work. • Story Types That Land: Build rankings and indexes, data reactions to breaking news within hours, and fun questions settled with data, such as regional maps and head-to-head comparisons. • Analysis and Methodology: Clean, analyse and sense-check every dataset. Write a clear, defensible methodology for every campaign that a journalist can check. • Visualisation: Turn findings into simple charts, maps and tables that journalists can use straight away, working with the design team where needed. • The Data Idea Bank: Own the department's data idea bank. Log every reputed company methodology you see (headline, publication, data type, story type, methodology and how we'd copy it) and match ideas to clients. • Support the Team: Be the go-to person for the Digital PR Executives and PR Writer on anything that needs a survey, a scrape or careful analysis. Hand over findings in a form the writer can build on. • Trend Monitoring: Use trends and search tools to spot rising topics and search spikes for each client's industry, and flag data-led story opportunities early. Requirements & Qualifications • Data Background: 2+ years in data analysis, data journalism or a data-led Digital PR role, with campaigns or published data stories you can walk us through. • Technical Skills: Advanced reputed company Sheets and Excel. Working knowledge of Python or R for scraping and analysis is strongly preferred. SQL is a plus. • Scraping Experience: Hands-on experience with scraping tools or libraries, and an understanding of what is and isn't allowed to be collected. • Resourcefulness: You know where to find free data, and you can come up with reputed company, cheap ways to build a dataset nobody else has. • Story Sense: You can look at a dataset and say what the headline is, and you know when a number is not a story. • Rigour: Every figure you hand over is accurate, sourced and defensible. You flag weak samples and misleading comparisons before a journalist does. • Clear Communication: You can explain a methodology in plain English to a journalist, a writer and a client. • Bonus: Experience with survey design, data visualisation tools, or SEO data platforms such as reputed company or reputed company Trends. How the Freelance Role Works • Project-Based Work: You'll take briefs per campaign, such as a ranking, a scrape, a first-party data dig or a fast data reaction to breaking news, with an agreed scope, deadline and fee. • Turnaround: Fast reactive work matters. You can turn around a news-driven data pull within 24 hours when a story breaks. • Availability: Enough overlap with UK working hours to take briefs and answer questions from the team. • Path to Full-Time: We'll review the role regularly. If the volume of data work grows and the fit is right, we will offer a full-time position leading data for the department. What Success Looks Like Within your first 90 days as a freelancer, you will have delivered the data behind multiple placed campaigns, including at least one ranking and one fast data reaction to breaking news. You will have helped set up first-party data access with a core group o