Learning Data Analyst

Hours: Permanent, full time, 37 hours per week (1.0 FTE)

Salary: Band 4 (non-negotiable) - £33,002 to £36,636 per annum (pay award pending)

About The Post

Join our creative, collaborative Directorate of Education and Student Experience at the University of Suffolk as we innovate in learner analytics and evaluation to enhance the student experience.

About The Team

Our vision is simple: we are passionate about student success. We work in partnership with staff to transform learning and teaching, empowering students to become engaged, independent, and employable. Joining our friendly, forward-thinking directorate means working in an agile, supportive environment that values curiosity, innovation, and shared success where your ideas can help shape the University's use of learning analytics and data reporting capacities.

Based in the Directorate of Education and Student Experience, you will work closely with colleagues across the institution (including academic course teams, Student Life, Registry, Access and Engagement, Research and Evaluation, and Educational Development team) to support course evaluation and monitoring processes and review the impact of interventions and long-term support programmes.

You will support the directorate in the delivery of services which contribute to continuous monitoring of the quality of the student experience and outcomes. Your support contributes to essential mechanisms which ensure we provide a consistently high-quality learning experience and comply with regulatory standards.

About You

We are looking for a Learning Data Analyst who under the supervision of the Head of Quality Enhancement and TEF, will collect and analyse data from across institutional platforms and systems and develop mechanisms to enable accurate and timely monitoring of student progress, satisfaction, and outcome measures. You will work with colleagues across the institution to support evaluation and monitoring processes and review the impact of quality enhancement interventions. You will thrive in an evolving environment and knowledge and experience of selecting and applying a wide range of statistical techniques accurately, creating and maintaining data dashboards, delivering detailed analyses and comprehensible reports to stakeholders.

We are looking for someone who is flexible and with a solutions-focused attitude who can respond to fast paced and changing environment.

Benefits

• Generous annual leave entitlement of 25 days for Bands 1-4 and 30 days for Bands 5 and above, plus 8 bank holidays and any university closure days.
• Enjoy an extra day of paid leave on your birthday, subject to qualifying/service conditions.
• Flexible working, including family friendly policies.
• Competitive workplace pension scheme (USS) - with an employer contribution rate of 14.5%, tax relief on contributions and life cover.
• Staff discounts at a number of local amenities in Ipswich.
• Discounted membership at Adastral Park Leisure and Sports.
• Access to a range of high-quality learning and development opportunities.
• Discounted rates for staff approved to study a UoS undergraduate or postgraduate course, subject to a set of criteria and conditions.
• Cycle to Work scheme.
• Electric vehicle salary sacrifice.
• Employee Assistance Programme (EAP).
• Staff recognition annual awards.

Closing Date: Friday 11 September 2026

Interview Date: Monday 21 September 2026

Applications received may be reviewed before the closing date and should we receive a high number of applications for this post, or high-quality applications which demonstrate suitability, we reserve the right to close the vacancy early. We may hold interviews as and when applications are received, and we reserve the right to offer to a candidate prior to the closing date.

We are a values driven organisation, committed to ensuring we remain a beacon for aspiration and achievement, while providing a great environment to work and study. We are committed to promoting a diverse and inclusive community and we encourage applications from under-represented groups.

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