Data Analytics Senior Manager

About the role

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 a senior data leader who has taken a data function through genuine transformation, and who is as comfortable presenting to a CEO as you are defending a methodology to a peer. You understand what a high performing function looks like, you know how to build toward it, and you have the credibility and composure to hold your ground when the data tells a story that senior stakeholders don't want to hear.

What you'll do

You'll 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'll 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:

- Setting the analytics roadmap, prioritising and sequencing delivery so the function is focused on the work that will have the greatest commercial impact

- Setting a clear direction for establishing and growing data science capability within the function, systematically reducing low value activity to create the capacity to get there

- Driving 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.

- Rebalancing delivery accountability that currently sits too heavily with analytics, working with tribe leads through sustained and active escalation to shift ownership back to them

- Leading and line managing Data Analysts and Senior Data Analysts, setting clear expectations for quality, delivery, and behaviour, and acting as the escalation point for analytical disputes, ambiguity, or risk