Senior Business Intelligence Manager

LSE is committed to building a diverse, equitable and truly inclusive university

Salary from £53,949 to £62,160 pa inclusive with potential to progress to £69,073 pa inclusive of London allowance

LSE Extended Education is a highly successful and commercially focused division which delivers a range of programmes, including the Summer School and Transnational Education (TNE) via our Global Programmes to diverse global audiences, bringing combined revenues of £45m to the School annually.

With over 9,500 students in 40+ countries studying LSE-designed degrees either at Recognised Teaching Centres (RTC) or Online, we’ve built a proud history of opening access to world-class education. We’re embarking on a major transformation programme that will reshape the future of LSE’s distance and online degrees. We are looking to recruit a Senior Business Intelligence Manager to play a leading role in using data to inform our strategic direction and the development of new products, including courses and degrees.

This new post will appeal to data experts who are confident working with ambiguity, and a self-starter who is comfortable shaping the role in response to strategy. The role will lead on establishing our programme reporting approaches and oversight of large datasets.

The ideal candidate will have skills and experience including:

• Proven experience in a business intelligence, data analytics, or insight role at management level, ideally within higher education or a similarly complex environment
• A High level of proficiency in data visualisation tools such as Power BI, Tableau, or similar platforms
• Skilled at translating technical insights into actionable recommendations for non-specialist audiences
• Proven ability to build strong, collaborative relationships with internal and external stakeholders

We offer an attractive pension scheme, generous annual leave, hybrid working and excellent training and development opportunities. 

Please note this role is office-based three days a week with two days a week from home, except during peak periods (e.g. exam sessions) when it is office-based four days a week, with one day a week working from home (approx. 13 weeks in the year). 

For further information about the post, please see the how to apply document, job description and the person specification.

If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please contact: o.trumble@lse.ac.uk

First-round interviews are expected to take place 21^st October and second-round 28th October. 

The closing date for receipt of applications is 5^th October 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.

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