At a Glance
- Tasks: Lead a data analytics team to drive strategic insights and self-serve adoption.
- Company: Join Flagstone, a pioneering online savings platform with a vibrant culture.
- Benefits: Enjoy hybrid working, competitive bonuses, and a £1,000 personal development budget.
- Other info: Be part of a diverse team that values kindness, respect, and growth.
- Why this job: Make a real impact in financial technology while growing your career in a supportive environment.
- Qualifications: Proven experience in data analytics and team leadership with strong technical skills.
The predicted salary is between 56700 - 69300 £ per year.
Flagstone is 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. Our unique culture is our pride and joy and our competitive advantage.
To revolutionise the savings market, we need to be at our best. High performance takes more than talent – it takes a culture of kindness, respect, and growth. We’re building a diverse, inclusive community, where your voice is heard and valued. With close support and room to develop, you can surpass even your own expectations and be rewarded for it.
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:
- Driving measurable adoption of self-serve analytics across Growth, Engagement, Partnerships and beyond.
- Working with tribe leads to rebalance delivery accountability through sustained, active escalation.
- Managing a full resourced, high performing team of analysts.
- Leading from the front on modern tooling and applied data science methods.
- Helping analysts understand how their role is evolving and encouraging proactive identification of opportunities.
- Partnering with senior stakeholders to shape problem statements, success measures, and analytical priorities.
- Owning the most complex and high-impact analytical work.
- Ensuring all outputs are trusted, contextualised, reproducible, and aligned with governance expectations.
What you'll bring:
- Significant experience in data analytics, including ownership of high stakes analysis.
- Proven track record of landing self-serve adoption.
- Experience rebalancing accountability in matrixed environments.
- Demonstrated ability to build partnerships across functions.
- Strong hands-on technical capability - deep SQL, Power BI, Python or similar.
- Communication and conviction, with the ability to operate credibly with senior stakeholders.
How we reward you:
- Hybrid working - Spend at least 1 day a week with your team in our collaborative London office.
- Competitive bonus scheme - designed to reward and recognise high performance.
- Flexible benefits budget - a pot to fund meaningful benefits for you.
- A range of salary sacrifice options to help you make tax efficient savings.
- Working Abroad - Flagstone employees can work remotely from an approved list of locations for up to 90 days a year.
- Mental wellbeing support – Access therapy and mental health sessions.
- Learning and development – £1,000 personal development budget.
- Private health care - Enjoy all the benefits AXA has to offer.
- Medical cash plan - To help you with the costs of dental and optical expenses.
- Life insurance and Income Protection - four times your annual salary.
- Matched pension contributions up to 5%.
- 25 days holiday - plus bank holidays, well-being days and volunteering days.
- Enhanced Parental Leave – enhanced maternity, paternity and adoption pay.
At Flagstone, we’re assembling a diverse team that defies our industry’s norms. Think this role could suit you? We encourage you to apply, no matter your background.
Data Analytics Team Leader in London employer: Flagstone
Flagstone is an exceptional employer that prioritises the growth and development of its employees, offering a competitive bonus scheme and flexible benefits tailored to individual needs. With a strong focus on building trust and relationships within the financial services market, our work culture fosters collaboration and innovation, making it an ideal environment for those looking to make a meaningful impact in the Greater London area.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Team Leader in London
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We think you need these skills to ace Data Analytics Team Leader in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Flagstone, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Flagstone. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Flagstone
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Flagstone!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.