Senior Analytics Manager (BI)

Our Story
 
Hello there. We’re Zopa.
 
We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! 

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. 

If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife

A day in the life

Lead and run BI today:

• 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

Shape the future:

• 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

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.

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