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Compensation & Data Analyst

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Onsite

Compensation & Data Analyst

Middlemore

Compensation & Data Analyst

Skills

SQL QueriesPythonAIPower BI

17 days ago

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Important information


Contract type:

Permanent

Salary:

£55,000 – £65,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

8 October 2026

What they need


Compensation & Data Analyst

London - Hybrid (3 days in the office)

£55,000 - £65,000 base plus very competitive bonus and benefits.

The Opportunity

Our client is a prestigious London-based financial services organisation currently looking for a Compensation & Data Analyst to join its People team. You'll start by running an established reward cycle. From there, you'll help build the modelling behind an evolving approach to pay, with a real focus on automation and smarter use of data. It's a rare chance to shape how reward works, rather than simply maintain it.

Key responsibilities

  • Run the annual compensation model and support the end-to-end reward cycle

  • Build new pay modelling as the organisation's reward methodology evolves

  • Produce gender and ethnicity pay gap reporting

  • Support job sizing and benchmarking for new roles

  • Provide reward analysis and clear insight to senior stakeholders

  • Automate recurring processes so models can be refreshed with new data each year rather than rebuilt

  • Help shape the use of AI and self-service tools that give managers secure, controlled access to reward data

What we're looking for

  • Around two to five years' experience in an analytical role within reward, or people data .

  • Confidence working with large datasets: cleaning, reconciling, checking and finding the story in the numbers

  • Advanced Excel skills (an Excel-based assessment forms part of the process)

  • Experience automating processes using Power Query, Power BI, VBA, SQL, Python or similar is a strong advantage

  • A genuine curiosity about AI, combined with sound judgement on data confidentiality

  • A confident, articulate communicator who can explain their analysis clearly and stand behind it when challenged

  • Financial services or insurance experience is welcome but not essential

If the above sounds in line with you next move we would love to hear from you.

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