Data Analytics Engineer

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 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.

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