> Markdown version of [/jobs/ext/4699713-entry-level-data-analyst](https://www.wearedevelopers.com/jobs/ext/4699713-entry-level-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Entry-Level Data Analyst - **Company:** Back TO Work - **Location:** Liverpool, United Kingdom - **Experience:** Starter - **Salary:** £26,500 - **Contract:** Permanent contract - **Skills:** Data Analysis, Spreadsheets, Databases, Document-Oriented Databases, Reference Data - **Published:** November 13, 2026 - **Apply:** https://www.cv-library.co.uk/job/225829249/entry-level-data-analyst ## About the Role * Ability to work independently, follow instructions and ask for support when needed. * A collaborative approach and willingness to support colleagues across the administration department. * Good organisational skills, attention to detail and the ability to manage routine tasks and deadlines. * Clear written and verbal communication skills, with the ability to explain information simply. * Confidence working with numbers and basic spreadsheet skills, with a willingness to develop data analysis skills. * An interest in starting a career in data and supporting administration within an educational organisation. ## Description Our client is an educational company seeking an Entry-Level Data Analyst to join its administration department. This is an opportunity for a motivated individual to begin a career in data while supporting the day-to-day administration of an educational organisation. Working alongside the administration team, you will help maintain accurate records, prepare reports and use data to support efficient processes and informed decisions., * Enter, update and maintain accurate records in the company's administrative databases and spreadsheets. * Support the administration team with routine data requests and reporting on learners, courses and administrative activities. * Organise, analyse and cross-reference data to identify missing information, inconsistencies and trends. * Document data processes, communicate findings clearly and handle records confidentially in line with company procedures.