Please note this vacancy is only open to current University of Glasgow employees.

Job Purpose 

Planning, Insight and Analytics are recruiting an experienced, collaborative and curious Data Analyst to support Course and programme portfolio review over the next two years.

Curriculum transformation, with a focus on enhancing programmes to embed future-focused skills, experiential learning, and inclusive assessment practices, is central to the University’s Learning and Teaching Strategy for 2025–2035. By undertaking a coordinated evaluation of our portfolio, we will ensure alignment with institutional goals, enabling students to benefit from initiatives such as Curriculum for Life and the employability framework. These enhancements aim to enrich the student experience, improve outcomes, and prepare graduates to thrive in a rapidly evolving global landscape. The Data Analyst will support Curriculum transformation, reporting into the Planning, Insight and Analytics (PIA) directorate at the University of Glasgow, and working closely with colleagues in Schools, Colleges, MSDI and PIA. PIA sits at the heart of University Services and provides data and analysis to support decision-making at the highest level. This role sits within PIA’s Data Analytics team.

The role holder will be responsible for insight and analysis relating to curriculum review, drawing on information held within MyCampus, PIP and other systems relating to Learning & Teaching. The role holder may also be invited to explore other data held by PIA, including insight into student population and performance, as well as external sources of data.

The post requires the holder to be comfortable extracting and analysing data, explaining patterns, developing analytic models, assessing and making recommendations around data quality and effectively communicating the stories found within data. In return for your valuable data expertise, you will benefit from working within a talented, supportive Data Analytics team, and in close collaboration with a range of experienced data practitioners including data governance, data engineering, data science and strategic planning.

For an informal conversation about the role, please contact Vicky.Johnston@glasgow.ac.uk or Beata.Nalewajko@glasgow.ac.uk.

Main Duties & Responsibilities

1. Deliver statistically robust insight and analysis into areas of the University’s activity relating to the Course and programme portfolio review.

2. Support the University governance and management structures by providing reports and insight to committees that allows us to understand the experience of our students, graduates, staff, and other operational aspects.

3. Continuously evaluate the coverage and quality of the University’s curriculum data, and act as a champion for high standards in collection, transformation and analysis.

4. Responsible for communicating across the University at all levels the insight and outputs of analysis undertaken.

5. Engagement with key stakeholders and working collaboratively with colleagues to investigate and highlight areas of best practice and poor performance.

6. Establish and maintain an up-to-date knowledge of the University’s academic provision and outputs to be able to accurately prioritise, inform and present integrated analysis.

7. Compile and translate data into engaging data stories that identify key messages and trends, ensuring that analysis is appropriate for each audience – ranging from senior management to school staff.

8. Work collaboratively with colleagues across the Planning Insight & Analytics function to use the most appropriate technology to carry out, present and issue analysis and insight across the university. Contribute to the wider Planning Insight & Analytics strategic direction.

9. Represent the team at meetings, external groups/conferences and seminars to keep up to date with national developments and gain and share information/knowledge of working practices in the higher education context.

Knowledge, Qualification, Skills & Experience

Knowledge and Qualifications

Essential:

A1 Ability to demonstrate the competencies required to undertake the duties associated with this level of post having acquired the necessary knowledge and skills in a similar or number of different roles. Or Scottish Credit and Qualification Framework level 9, (Ordinary Degree, Scottish Vocational Qualification level 4), or equivalent (including professional accreditation with relevant formal training), and experience of personal development in a similar or related role(s).

A2 Knowledge of analytical techniques.

Desirable:

B1 Knowledge of higher education guidelines and policies.

B2 Knowledge of the University’s approach to curriculum and curriculum data.

B3 Knowledge and experience of University and HE Sector/developments.

Skills

Essential:

C1 Excellent interpersonal, organisational and communication skills, including written communication.

C2 Drive, enthusiasm and a high degree of personal effectiveness.

C3 Accuracy and attention to detail and ability to handle large volumes of data.

C4 A strong understanding of probability and statistical concepts.

C5 Strong data analysis skills, including data preparation, pattern identification, data visualisation and storytelling.

C6 Ability and commitment to work calmly under pressure in a busy environment and achieve high quality work standards.

C7 Ability to work to timescales with competing demands.

C8 Able to engage with people, building credible relationships.

C9 Tenacity and resilience.

C10 Presentation skills and ability to adapt delivery to suit audience needs.

Experience

Essential:

E1 Experience of working with large volumes of data and producing a range of data analysis.

E2 Experience of working with university data relating to curriculum, for example that held in MyCampus or PIP.

Desirable:

F1 Previous experience in similar analysis role.

F2 Experience of data visualisation / business intelligence software (e.g. Tableau, PowerBI, Qlik Sense, Business Objects).

F3 Knowledge of reproducible data science techniques (using for example SQL, Python or R) and robust approaches to working collaboratively with data.

F4 Familiarity with the processes and ways of working manage or generate curriculum data at the University of Glasgow.

Terms and Conditions

Salary will be Grade 7, £41,064 - £46,049 per annum.

This post is full time (35 hours p/w) and fixed term for up to 2 years.

Closing Date: 1 December 2025

The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK.  If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.

Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa.

As a valued member of our team, you can expect:

1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.

2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University  https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/.

We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.

We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.

We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.