Job Description
The University of London
The University of London is both the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 renowned higher education institutions.
The federation brings together more than 250,000 learners and 50,000 staff in a collaborative community that is delivering high-quality research and education across all disciplines.
Since 1858, we have expanded access to world-class higher education. Today, around 40,000 students in more than 190 countries are part of our global learning community.
The University of London is also home to the School of Advanced Study, the national centre for the humanities, whose mission is to advocate for the discipline.
By working together, we expand access to outstanding higher education and resources and extend their benefits to learners and researchers across the UK and around the world.
Data Analytics Engineer
The Role
The University of London is seeking an experienced Data and Analytics Engineer to join ITDS Intelligence and Analytics team.
The team currently maintain a mature portfolio of 40+ Power BI dashboards used both internally and externally by the University of London and our federation members.
The team are embarking on a new implementation of Microsoft Fabric, with the aim to provide a unified analytics and data platform to manage the full data lifecycle, improve performance and reliability, and to deliver a scalable and flexible solution for the future.
The main responsibilities of the role will be to:
Gather and analyse business intelligence requirements through stakeholder workshops and engagement.
Design, develop, and maintain BI solutions, including reports and interactive dashboards aligned to strategic and operational goals.
Source, integrate, and transform data from internal and external systems; build and optimise ETL/ELT pipelines and analytics-ready data models.
Ensure data quality, governance, documentation, and performance optimisation across datasets, queries, and dashboards.
Evaluate the reporting impact of source system changes and maintain alignment with evolving systems.
Promote best practice in data modelling, visualisation techniques, and BI standards.
Drive user adoption through training, customer support, and consistent BI administration (e.g., access control, data quality logs, standards).
Contribute to common data definitions and support statutory and regulatory data submissions.
Maintain professional awareness, comply with University policies (including equality and safety), and undertake additional duties as required.
For an informal discussion about the role please feel free to contact Michael Choueri, (michael.choueri@london.ac.uk) the Head of Data and Analytics (Interim).
For a full role profile, please refer to the job description below.
Further information
To be considered for this opportunity, please submit your application and CV (by clicking ‘apply for job’ at the bottom of this page) before the closing date at midnight on Sunday 24th May 2026.
The University reserves the right to close the vacancy earlier than the published end date should it receive sufficient applications to warrant earlier shortlisting.
The University currently operates a Hybrid Working framework involving a mix of working remotely and in the office. Typically, most employees will be able to agree to work remotely for up to 60% of their working week, role dependent, however, will need to attend the office on specific days for training or team meetings etc.
The University of London is committed to promoting a diverse and inclusive working environment where we can all be ourselves and succeed. We particularly encourage applications from members of Black, Asian, and Minority Ethnic communities as this group is currently under-represented at all levels within the University. All appointments will be made on merit, based on the criteria named in the job description.
Pursuing excellence in education and equal opportunities.