/HEAD OF ANALYTICS

HEAD OF ANALYTICS

Londongbvia direct
// Job Type
Full Time
// Salary
GBP 100,000 - 160,000/year
// Salary Range
100,000–160,000 GBP / year
// Posted
1 month ago
// Seniority
director
// Work Mode
onsite
// Experience
8+ years

About the Role

You will lead a central Analytics & MI team operating as a shared service across the business, supporting functions including Finance, Marketing, and the C-suite. Overview of the company We are a UK-based financial services provider offering straightforward loans and credit options, regulated by the financial authorities. Our focus is on making credit accessible and easy to understand. The Role This is a high-impact leadership role at the centre of a business-wide transformation in analytics, decision making, and AI adoption. You will lead a centralised Analytics & MI function operating as a shared service across the organisation, driving actionable insight, improving decision-making, and accelerating the adoption of AI-powered analytics. The role combines strategic leadership (50%) and hands-on delivery (50%), with a strong emphasis on, turning data into commercial insight, embedding AI into analytics workflows and driving change across multiple business functions Essential Experience Proven leadership of Analytics / MI teams in a complex business environment Strong track record of turning data into actionable business insight Experience influencing senior stakeholders, including C-suite Hands-on technical capability (SQL + Python preferred) Experience with modern data stacks (e.g. Snowflake, Power BI or similar) Demonstrated ability to improve data structures, reporting, and processes Leadership Style - comfortable being both hands-on and strategic AI & Innovation Mindset Active engagement with AI tools in analytics (e.g. LLMs, automation tools) Strong understanding of the AI tooling landscape, including pros/cons Experience applying AI commercially (not just theoretical exposure) Ideal Background Financial Services experience preferred (lending, credit, banking, fintech) Open to other data-rich, commercially driven sectors (e.g. airlines, insurance, tech) Candidates from larger organisations welcome, but must be comfortable in a less structured, fast-moving environment.

Tech Stack

SQLPythonSnowflakePower BIdata analyticsAI toolsfinancial analysisteam leadership

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