Lead Data Analyst

What is Flagstone?

Flagstone is many things. An online savings platform, reinventing how individuals, businesses, and charities manage, protect, and grow their cash. A diverse group of people, bound by a collaborative spirit, and shared purpose. And lastly, a thriving, profitable business – where smart people do their best work.

Each definition shares a common thread: our unique culture. It’s our pride and joy. And our competitive advantage.

A feel for our culture:

To revolutionise the savings market, we need to be at our best. But high performance takes more than talent – it takes a culture of kindness, respect, and growth.

That’s why we’re building a diverse, inclusive community, where your voice is heard and valued. Where, with close support and room to develop, you can surpass even your own expectations. And be rewarded for it.

We may not change the world, but we can change the world of financial technology. And all it takes is a winning mix of drive, talent, and empathy. Our culture celebrates all three.

But enough about us. Let’s talk about you.

Does this sound like you?

You're an experience Data Leader who has taken a data function through genuine transformation. You've built self-serve adoption from the ground up, shifted accountability for data insights back to product teams, and driven real adoption across a business. You understand that moving analytics from a service function to a strategic one requires changing not just tools, but how the organisation thinks about data.

What You'll Do

As Lead Data Analyst, you will play a key role in shifting the function from a service that reports what has happened to one that drives decisions about what should happen next. You will work closely with the Head of Data to lay the foundations for a more strategic, consultative model, building the team, the tools, and the ways of working that will continue to move Flagstone from reactive reporting to predictive, commercially driven insights.

This will include:

• You'll drive measurable adoption of self-serve analytics across Growth, Engagement, Partnerships and beyond. This isn't about publishing dashboards; it's about training, supporting, and tracking uptake so ad hoc request volume falls and teams own their own insights.
• Currently, too much delivery accountability sits with analytics. You'll work with tribe leads to rebalance this through sustained, active escalation. You've done this pattern before and know how to hold the line.
• Managing a full resourced, high performing team of analysts. You'll build genuine partnership with tribe and function leads, not just visibility within data leadership. You drive adoption, you don't just ship and hope.
• Leading from the front on modern tooling and applied data science methods, and building the team's capability through coaching, pairing, and structured development.
• Helping analysts understand how their role is evolving, encouraging the team to move from responding to requests to proactively identifying opportunities and influencing decisions.
• Partnering with senior stakeholders to shape problem statements, success measures, and analytical priorities.
• Owning the most complex and high-impact analytical work, including methodology selection, assumptions, and interpretation.
• Ensuring all outputs are trusted, contextualised, reproducible, and aligned with governance expectations before informing decisions.