Details
1100930
University of Warwick
29/09/2025
6 Months
36.5 hours per week (Monday-Friday, 5 days per week)
Smart Casual
Pay
£22.26
£2.69
Description
Role
We are seeking an experienced Student Records Data Analyst to join our curriculum data team. The successful candidate will play a key role in cleansing, restructuring and transforming large course and module datasets into accurate, consistent, and reliable formats for the university’s new Curriculum Management System which is planned to go live in 2026.
The role is likely to include activities such as: restructuring course and route data into a new Academic Model; cleansing and standardising large datasets; ensuring that data complies with internal and external regulatory requirements; compiling reference data tables; liaising with academic departments to resolve data discrepancies; and identifying solutions to issues raised by stakeholders.
The ideal candidate will have significant experience transforming HE student records data and/ or configuring student records systems such as SITS. You will need an excellent eye for detail, strong problem-solving skills, a pro-active mindset, and experience of establishing and maintaining effective working relationships with a range of stakeholders.
Applicants should provide a covering letter using the Skills and Experience criteria below as headings to demonstrate relevant evidence and experience.
About the Department
Education Policy and Quality (EPQ) help ensure that Warwick offers a transformative, enriching and distinctive education to every student who studies here. Broadly speaking, our remit covers educational policy, strategy and governance and their role in creating a culture of continuous improvement.
We are a friendly and supportive team of around 25 colleagues across our Quality & Partnerships, Policy & Governance, Curriculum Management, and Operations teams. Most members of the team have ‘business-as-usual’ responsibilities in one of our Core Services and project responsibilities in one of our priority projects. We work with a wide group of stakeholders across the university and outside the university and play a key role in ensuring the policies and regulations are implemented fairly, consistently and proportionately.
Duties and responsibilities
1. Work with academic departments to establish which courses and routes need to be built into the Curriculum Management System
2. Transform existing SITS Course/Route/Award data into a new data structure (“Academic Model”) for the Curriculum Management System
3. Cleanse SITS Course/Route/Award data so that it is accurate, reliable and compliant with internal and external regulatory requirements
4. Create and populate new Course/Route/Award data fields
5. Compile accurate Reference Data tables for communication with the supplier
6. Create ‘Core Course Datasets’ for each academic department
7. Consult academic departments on the accuracy of their Core Course Datasets and proactively find solutions to queries
8. Finalise the Core Course Datasets ready for upload into the new system by the supplier
9. Support the migration of Module Data from existing systems into the new Curriculum Management System
10. Analyse stakeholder requests for Module Data enhancements and identify workable solutions
11. Create and maintain clear, comprehensive documentation, including transformation logic, data definitions, and dependencies, to support ongoing maintenance.
Skills and experience
Essential
1. Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field.
2. Significant experience as a Student Records Data Analyst or in a similar data-focused role.
3. Proven experience in transforming Higher Education course and module data.
4. Excellent attention to detail.
5. Strong problem-solving skills.
6. A self-starter with a pro-active mindset.
7. Excellent communication and collaboration skills.
Desirable
8. Experience of designing and/ or configuring Curriculum Management Systems.
9. Experience of designing and/ or configuring Student Records Systems (ideally SITS).
10. Proficiency in data wrangling tools, such as Python (with Pandas, NumPy); R (dplyr, tidyr); SQL; Excel (Power Query).
11. Familiarity with data visualisation tools such as Power BI, Tableau, Looker.
Location
Hybrid work with one to two days a week at our office in Coventry.
Additional information
Start date - Ideally from September