Business Intelligence sits at the heart of how Zopa understands performance, measures success and enables data-driven decision making. The team provides trusted metrics, scalable reporting and self-service capabilities that support Product, Credit and Fraud teams across the bank.
We're looking for a Senior Analytics Manager to lead our BI team at Zopa. Reporting to the Director of Central Analytics, you’ll lead a team of seven analysts who power data-informed decisions right across the bank – working with a wide range of stakeholders from credit strategy to product performance.
This is a pivotal hire. You’ll inherit a talented team and a clear strategic mandate from leadership. The challenge – and the opportunity – is to run the existing BI function brilliantly while simultaneously defining the vision for BI in an AI-powered future, taking the business on that journey.
A day in the life
- Lead and develop a team of seven analysts, investing in their growth, setting high standards and building a culture of quality and accountability
- Own prioritisation and stakeholder management across diverse, concurrent demand – making clear-headed decisions about where to focus effort and communicating those decisions confidently to senior partners
- Drive BI delivery across the bank - own the team's roadmap, maintain and evolve our reporting infrastructure (including dbt models, Tableau dashboards and Python-based automated MI packs), balancing short-term delivery with longer-term foundational work
- Lead a strategic effort to address dashboard sprawl – building an approach that ensures dashboards are trusted, well-governed, easy to find and compute-cost efficient
- Champion data quality and definition consistency, ensuring everything the team publishes can be relied upon by stakeholders
- Partner with other analytics leads, analytics engineering and data engineering to design scalable, well-governed BI solutions
- Play a central role in building our semantic layer – a strategic initiative with full leadership backing – and making natural language querying a practical reality for analysts and stakeholders
- Build and articulate a clear vision for what the BI team looks like in the future: the tools it uses, the products it builds and the value it delivers as the platform landscape continues to evolve
- Stay ahead of rapid change in the BI space – from AI-assisted analysis and interactive HTML dashboards to new platform capabilities – and translate these into a credible roadmap
- Champion AI adoption within the team, actively experimenting with new tools and helping analysts build in new ways
- Find resource-efficient paths to move from the current world to the next, managing the transition without disrupting delivery
Lead and run BI today:
Shape the future:
About you
- Leadership and people development – you have proven experience leading a BI or analytics team in a fast-paced, data-driven environment
- Analytics experience – you've built experience across BI, analytics, product analytics or adjacent data disciplines and understand how these functions work together to create value
- Business-first mindset – you think in outcomes and value, not just data and delivery. You ask "why does this matter?" before "how do we build it?"
- Stakeholder management – you're comfortable navigating competing demands, managing senior relationships and building trust across a diverse set of stakeholders
- BI strategy – you have a clear point of view on what good looks like for a BI function, and you can articulate and sell that vision
- Technical skills – you bring fluency across SQL, Python and Tableau (or equivalent BI tooling)
- Innovation – you actively explore emerging technologies and identify practical opportunities to improve how teams work, access data and generate insight
- Modern BI tooling – experience with semantic layers, data modelling and modern BI approaches (e.g. dbt, Streamlit, LookML)
- Comfortable with ambiguity – you thrive when the landscape is shifting and can help your team do the same
- AI-fluent – you're actively using AI tools and can point to concrete examples of how they've changed the way you operate; a track record of building or deploying AI-powered data products is a strong advantage
Fintech or financial services experience is an advantage but not essential – curiosity and a willingness to get up to speed on credit concepts matters more.
Skills Required
- Proven experience leading a BI or analytics team
- Experience across BI, analytics, product analytics or adjacent data disciplines
- Strong stakeholder management, including managing senior relationships
- Clear point of view on BI strategy and ability to articulate and sell that vision
- Fluency in SQL
- Fluency in Python
- Fluency in Tableau or equivalent BI tooling
- Experience with modern BI tooling and data modelling (semantic layers, dbt, Streamlit, LookML)
- AI-fluent and actively using AI tools
- Track record or strong advantage: building or deploying AI-powered data products
- Fintech or financial services experience (advantage)
What We Do
We’re Zopa, and we want to make money work better for you. Our diverse team is united in their mission of creating simple, fair and honest financial products that have the customer’s needs at their heart. We’re proud that this dedication is reflected in our excellent rating on TrustPilot. We’ve always been unapologetically honest with our customers, and value the same in return. Their feedback helps us shape what we build, so we can provide a bank fit for today, and for the future. We’re not the new kids on the block though - we’ve been a pioneering force in finance for 16 years. In 2005, we built the first ever peer-to-peer (P2P) lending company, giving our customers access to loans built for real-life and intelligent investments backed by cutting-edge tech. In 2020, we launched Zopa Bank, meaning we could offer more – like fixed term savings backed by FSCS protection and a credit card to help customers take control of their finances. We’ve lent out over £6 billion and are proud to have made money work better for over half a million people across the UK, whether they were looking to borrow or save.
