> Markdown version of [/jobs/ext/4170177-student-data-analyst](https://www.wearedevelopers.com/jobs/ext/4170177-student-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). --- # Student Data Analyst - **Company:** University of Greater Manchester - **Location:** Bolton, United Kingdom - **Salary:** £26,615 - £29,354 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Big Data, SQL Databases, Data Management, Alteryx - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3dae09a91fc2bda8 ## About the Role You will have strong analytical skills and confidence working with large datasets using tools such as Microsoft Excel. Experience with student record systems such as SITS is highly welcomed, but not essential as training and support will be provided. Experience using SQL and ideally Alteryx and experience of working in a Higher Education environment is desirable. You are methodical, proactive, and confident asking the right questions to resolve data issues. Strong communication and interpersonal skills are key, as you will collaborate with colleagues across various teams around the university and external stakeholders. You will also demonstrate a commitment to accuracy, confidentiality, and high-quality service in line with regulatory and University data governance standards. ## Description Are you passionate about working with data and using it to improve processes and decision-making in a dynamic higher education environment? This is an exciting opportunity to join the University of Greater Manchester as part of the Student Data Management (SDM) team. Working closely with the Student Data and Returns Officer, you will support the accuracy, consistency, and integrity of student data across university systems and support the team with handling student enquiries via email and phone. Your analytical skills and attention to detail will help drive continuous improvement and transformation across our student data processes.