Harnham
Head of Analytics

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Head of Analytics
Location: London (Hybrid)
Salary: £140,000-£160,000 + Bonus
This is a high-impact opportunity to lead a centralised Analytics & MI function through a major transformation, with a particular focus on AI adoption, commercial insight, data strategy, and decisioning; you’ll have significant exposure to the C-suite and the opportunity to shape how analytics is used across a fast-moving, data-rich financial services business!
The Company
This is an established and growing financial services business undergoing significant transformation across its analytics, decisioning, and AI capabilities. The business is investing heavily in its data infrastructure and decisioning capabilities, while looking to move its analytics function beyond traditional reporting and towards actionable, commercially focused insight. You’ll join at an exciting point in that journey, with the opportunity to influence the analytics strategy and build a modern, AI-enabled function.
The Role
As Head of Analytics, you’ll report directly to the Chief Analytics Officer and lead a centralised Analytics & MI function supporting stakeholders across the business, including Finance, Marketing, and the C-suite. The role blends strategic leadership and hands-on delivery, giving you the opportunity to influence the direction of the function while remaining close to the analytics itself.
Key responsibilities will include:
- Lead and develop a centralised Analytics & MI function
- Build a high-performing, insight-led analytics culture
- Develop managers and analysts and support future team growth
- Shift analytics from traditional reporting towards actionable commercial insight
- Improve data storytelling and senior stakeholder engagement
- Manage and prioritise a shared analytics workstack across Finance, Marketing, and C-suite stakeholders
- Lead the adoption of AI tools within analytics, including LLM and coding tools
- Establish governance, best practice, and optimisation around AI usage
- Oversee the development of scalable gold-layer datasets
- Drive reporting automation using modern data technologies such as Snowflake and Power BI
- Improve data structures, governance, and reporting processes
- Line manage the Decision Engine Manager and oversee the migration to a new platform
- Influence business-wide analytics, data, and decisioning strategy
- Act as a senior analytics voice across the organisation
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
A key part of the role will be understanding how AI can be applied commercially, rather than simply having theoretical knowledge of the technology. You’ll be expected to understand the evolving AI tooling landscape, its advantages and limitations, and how it can make analytics teams faster and more effective.
Your Skills & Experience
You’ll be an experienced Analytics leader with a strong track record of managing teams and influencing senior stakeholders.
I’m particularly interested in candidates with:
- Proven leadership experience across Analytics, MI, or Data Analytics
- Experience managing and developing analytics teams
- Strong experience turning data into actionable commercial recommendations
- Proven ability to influence C-suite and senior stakeholders
- Strong hands-on technical capability, ideally including SQL and Python
- Experience working with modern data stacks such as Snowflake, Power BI, or similar
- Experience improving data structures, reporting, and analytics processes
- A strong understanding of data strategy and analytics transformation
- Practical experience using AI/LLM tools within analytics
- A good understanding of the wider AI tooling landscape and its commercial applications
- Experience embedding AI, automation, or advanced analytics into business processes


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Financial Services experience is strongly preferred, particularly candidates who have worked across areas such as lending, credit, banking, fintech, or risk. Candidates with experience managing Risk Analytics or Risk teams would be particularly relevant. The client is also open to strong candidates from other data-rich, commercially driven sectors such as insurance, airlines, or technology, provided you’re comfortable operating in a fast-moving and relatively unstructured environment.
The Benefits
- Salary: £140,000 – £160,000
- Bonus: up to 20%
How to Apply
If you’re interested in this opportunity and have the analytics leadership, financial services/risk experience, and practical AI exposure we’re looking for, please apply now. For more information, or to discuss the role confidentially, please contact Adam Osborne at Harnham.
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