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Data Analyst

Hybrid in Leeds·Added today (last checked 2 Nov)

Our summary

Work mode
Hybrid, Leeds
Closing date
Apply by Sunday 8 November
Holiday
26 days holiday

Skills

Pay & benefits

What you'll get

  • 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) - That's 42 days a year!
  • Generous pension scheme options plus life assurance
  • Health and Wellbeing: Discounted staff membership options a The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!

To explore the post further or for any queries you may have, please contact:

Serena Ford, Senior Data Analyst

Email: s.ford@leeds.ac.uk

The role

This role is available to current employees at the University of Leeds on and could be offered as a secondment opportunity.

Are you an enthusiastic and skilled Data Analyst? Are you a strong problem solver with a passion for understanding how data, systems and business processes work together? Do you enjoy working with stakeholders to identify requirements, improve processes and deliver effective data solutions?

Reporting to the Senior Data Analyst, you will play a key role in supporting and enhancing the University's data and reporting services, including statutory returns. You will investigate data-related issues, identify and rectify data quality problems, analyse business requirements, and design and implement effective data, reporting and operational solutions. The role will have an initial focus on the HESA Student Return including supporting the implementation of upcoming changes relating to in-year returns and modular level reporting. You will also contribute data and systems expertise to a range of projects across the wider University.

We are looking for an experienced Data Analyst to join our team. In this role, you will work with diverse datasets, ensuring that data is accurate, accessible, and effectively used to support operational and strategic objectives. You will collaborate with stakeholders to understand business needs and translate these into high-quality, user-friendly solutions. You will support the development and continuous improvement of systems, processes, integrations, and reporting capabilities. An effective team player, you will be self-motivated and able to prioritise your workload, manage competing demands, and deliver high-quality outcomes.

How you'll work

This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.

Hiring process

The interviews are expected to be held on the 18th November 2026.

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