Winter Data Internship

Job description

Sheffield or London | 2 days per week in the office, 3 days working remotely 8-week placement (November - January with break for Christmas) ABOUT THE ROLE On a day-to-day basis, you will: Work on well-scoped analysis and data tasks, with guidance and peer review from the team. Use SQL to explore data, answer questions and build simple, reusable datasets. Help create or improve dashboards that allow teams to monitor key metrics and performance. Check data quality, investigate unexpected results and clearly document your assumptions. Speak with stakeholders to understand their questions and help translate them into structured analysis. Use appropriate charts and written summaries to communicate findings to technical and non-technical audiences. Contribute to an individual or team project that demonstrates what you have learned and creates value for the business. Take part in team ceremonies, knowledge-sharing sessions and regular one-to-one coaching. Use AI tools thoughtfully to support tasks such as learning, exploring approaches, drafting code or documentation, while checking outputs and protecting confidential data. ABOUT YOU We would like you to be: Interested in data analysis and in using data to understand and solve real business problems. Comfortable working with numbers and able to break a question into logical steps. Familiar with SQL, spreadsheets, Python or another analytical tool through study, work experience or personal projects. Able to explain your thinking and communicate clearly with people who may not have a technical background. Curious about how businesses work, willing to ask questions and keen to investigate why something has happened. Careful with detail, particularly when checking data and deciding whether a result can be trusted. Open to feedback, collaboration and learning new tools and ways of working. Familiar with AI tools and able to use them responsibly to support your work, rather than accepting their output without question. It would also be useful if you have: Completed a university, college, apprenticeship, bootcamp or self-directed project involving data. Created a dashboard, report or analysis and can describe the question, tools, approach and outcome. Used an AI tool in a personal, academic or external project and can explain what it helped you do, how you checked its output and what you learned. Some familiarity with da…