Data Analytics Senior Manager in London

Data Analytics Senior Manager in London

London Full-Time 75600 - 92400 £ / year (est.) No working from home possible
Flagstone

At a Glance

  • Tasks: Lead data analytics transformation and drive strategic decision-making.
  • 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 your voice and contributions.
  • Why this job: Make a real impact in financial technology while growing your career.
  • Qualifications: Proven experience in data analytics and managing senior stakeholders.

The predicted salary is between 75600 - 92400 £ 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.

Does this sound like you? You're a senior data leader who has taken a data function through genuine transformation, comfortable presenting to a CEO as well as defending a methodology to a peer. You understand what a high performing function looks like, know how to build toward it, and 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:

  • 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.
  • 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.
  • Set the analytics roadmap, prioritising and sequencing delivery for greatest commercial impact.
  • Establish and grow data science capability within the function, systematically reducing low value activity.
  • Drive measurable adoption of self-serve analytics across Growth, Engagement, Partnerships and beyond.
  • Rebalance delivery accountability currently sitting too heavily with analytics, working with tribe leads through sustained and active escalation.
  • Lead and line manage Data Analysts and Senior Data Analysts, setting clear expectations for quality, delivery, and behaviour.
  • Lead from the front on modern tooling and applied data science methods, building the team's capability through coaching and structured development.
  • Help analysts understand how their role is evolving, encouraging proactive identification of opportunities.
  • Operate as a credible authority with C Suite level stakeholders, challenging assumptions and articulating data support.
  • Defend analytical methodology under scrutiny, clearly articulating model choices and potential undermining factors.
  • Exercise independent judgement on significant insights and accountability for downstream business impact.
  • Own the most complex and high impact analytical work, including methodology selection and interpretation.
  • Ensure 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 and operation as a hybrid IC/manager.
  • Demonstrated ability to manage C Suite level stakeholders, influencing at the most senior levels.
  • Proven track record of landing self-serve adoption with measurable outcomes.
  • Experience rebalancing accountability in matrixed environments.
  • Experience in building partnerships across functions.
  • Strong hands-on technical capability, including SQL, Power BI, and 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 for meaningful benefits.
  • A range of salary sacrifice options for tax efficient savings.
  • Working Abroad - remote work from approved 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 benefits from AXA.
  • Medical cash plan for 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 Senior Manager 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.

Flagstone

Contact Details:

Flagstone Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analytics Senior Manager in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Flagstone!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics Senior Manager at Flagstone.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Flagstone.

Apply Directly through Our Website

When you find a suitable opening like Data Analytics Senior Manager at Flagstone, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analytics Senior Manager in London

Data Analytics
Stakeholder Management
Self-Service Analytics
Team Leadership
Analytical Methodology
SQL
Power BI

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

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.