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Head of Analytics

Job in London, Greater London, W1B, England, UK
Listing for: Harnham - Data & Analytics Recruitment
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 160000 GBP Yearly GBP 100000.00 160000.00 YEAR
Job Description & How to Apply Below
Head of Analytics London - hybrid 2-3x a week Up to £160,000  bonus This is a senior leadership opportunity to shape a modern, AI-enabling analytics function at a critical point of transformation. Sitting at the centre of the business, this role blends strategic leadership with hands on delivery, giving you real influence over how data, analytics and decisioning drive commercial outcomes.

The Company They are a well-established, consumer-focused organisation operating in a highly data rich and regulated environment. With a strong focus on responsible decision making and customer outcomes, the business is investing heavily in analytics, automation and AI to support its next phase of growth. Analytics operates as a shared service, partnering closely with senior stakeholders across the organisation.

The Role You will lead a centralised Analytics and MI function that supports multiple business areas, operating as an internal consultancy.

Key responsibilities include:

Leading and developing a high performing analytics team, including managers and analysts, with a strong focus on commercial impact. Driving the shift from descriptive reporting to actionable, insight led analytics that influences senior decision making. Embedding AI and advanced analytics tools into day to day workflows to improve speed, quality and scalability of insight. Overseeing scalable data and reporting infrastructure, including automated reporting and governed gold layer datasets.

Line managing a Decision Engine Manager and overseeing the migration to a new decisioning platform. Managing and prioritising a shared analytics workstack across finance, marketing and executive stakeholders. Your Skills and Experience To be successful, you will bring:
Strong leadership experience within analytics or MI in a complex commercial environment. A proven ability to translate data into clear, actionable business recommendations for senior stakeholders. Hands on technical capability using SQL, with Python experience preferred. Experience working with modern data stacks such as Snowflake and Power BI or similar tools. Practical experience applying AI tools within analytics, with a clear understanding of benefits, limitations and governance.

Confidence operating in fast moving environments where structure is evolving. What They Offer High visibility role with direct exposure to executive leadership and clear scope for long term impact and progression.

How to Apply

If you are looking for a senior analytics leadership role with real influence across data, AI and decisioning, apply now to find out more.
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