Senior Analytics Manager; Business Intelligence

Requirements

• 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

• 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
• 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