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 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.
The Benefits
- 15–25% bonus
#J-18808-Ljbffr
Operations Analytics Lead employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
