Operations Analytics Lead in London

On-site in London·Added 2 days ago (last checked 23 Oct)

Agency

Harnham

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Our summary

Salary: £90,000 - £100,000 a year
About £5,230 - £5,710 a month after tax.
Work mode: On-site, London
Contract: Permanent contract
Experience: Senior level

Skills

Nice to have

Python

Harnham is hiring for this role in several places. This vacancy is in London.

The role

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Operations Analytics Lead

£90,000-£100,000 + Bonus

London (Hybrid - 3x Days a Week in Office)

The Company

A leading global fintech is looking for an Operations Analytics Lead to join a high-performing Data & Insights function. This is a fast-moving, technology-led financial services business with a strong focus on data, digital products and improving customer experiences. The Operations function spans areas including Customer Experience, KYC and Client Onboarding, Payments, Transaction Reporting and AI Operations; Analytics sits at the heart of how the business measures performance, identifies opportunities and makes strategic decisions.

The Role

This is a senior, hands-on analytics leadership position combining people management, strategic thinking and technical delivery. You'll lead a team of around 4-5 analysts, while remaining approximately 60% hands-on yourself. The team has an existing roadmap, but this role will bring greater structure and prioritisation, helping move the function away from reactive requests towards a more strategic, commercially focused approach. You'll work closely with senior stakeholders across Operations, challenging priorities, defining the right questions and using data to influence decisions. A major part of the role will be around AI and automation. You'll help measure the impact of AI-enabled operational tools, support the development of internal copilots and ensure that AI initiatives are backed by robust analytical frameworks. You'll also work across areas such as workforce analysis, customer-service operations, KYC and operational efficiency.

Your Skills & Experience

Proven experience managing an analytics team
Strong SQL skills
Strong statistical understanding, including A/B testing, experimentation and statistical significance.
Experience developing analytical frameworks and using data to influence business strategy.
Comfortable being hands-on while also setting direction and influencing senior stakeholders.
Practical experience using AI tools such as Copilot or Claude to improve processes or analytical workflows.
Experience within financial services, fintech or another regulated environment is highly desirable.
Python experience is preferred.
Experience with dbt, Airflow and Git would be advantageous.
Experience with Looker, Tableau or another enterprise BI platform.
Background in operational analytics, workforce management, customer service, KYC or similar environments would be beneficial.
The ability to turn a reactive analytics function into a more structured, prioritised roadmap.