At a Glance
- Tasks: Lead analytics projects to drive business growth and optimise performance.
- Company: Join Quilter plc, a leading wealth management firm with a focus on innovation.
- Benefits: Enjoy competitive salary, private medical insurance, and generous holiday allowance.
- Other info: Dynamic work environment with opportunities for professional development and career growth.
- Why this job: Make a real impact by shaping strategies through data-driven insights.
- Qualifications: Degree in analytics or equivalent experience; strong leadership and communication skills required.
The predicted salary is between 66150 - 80850 £ per year.
About the Business
Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £157.4 billion in customer investments (as of June 2026). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.
Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning – offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.
At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!
About the Role
Level: 5
Department: COO
Location: London
Contract type: Permanent
The role sits within the Chief Data Office (CDO) and reports to the Head of Analytics & Insights. The Senior Analytics Manager plays a pivotal role in delivering business value through analytics and actionable insights. This position partners with stakeholders to understand strategic priorities and identify opportunities where data can inform decisions, optimise performance, and unlock growth. The role requires a blend of technical expertise, business acumen, and team leadership skills to create a data-driven culture across the organisation.
The key accountabilities for the role are as follows:
- Strategic Analytics Partner
- Partner with Business Leaders to shape strategy through evidence-based decision making
- Identify high-value opportunities where analytics can create competitive advantage, improve customer outcomes and accelerate growth
- Act as a trusted advisor, challenging assumptions and influencing strategic decisions through robust analysis
- Develop and maintain a prioritised analytics portfolio aligned to strategic and commercial objectives
- Analytics Delivery & Insight Generation
- Lead the design, development, and implementation of analytics projects aligned with business objectives
- Drive and oversee creation of deep dive analytics, models, dashboards, and performance metrics to support decision-making
- Apply advanced analytical techniques including regression analysis, segmentation and cluster analysis, propensity modelling, time-series forecasting, correlation modelling, driver analysis or similar
- Use data storytelling techniques to transform complex data into clear, compelling insights presented in a way that drive measurable impact/outcomes and inform strategic decisions
- Monitor and evaluate the effectiveness of analytics initiatives
- Ensure analytics outputs are accurate, timely, and actionable
- Data Enablement
- Define and embed analytics standards, methodologies and best practices to ensure scalable, repeatable and robust analytical delivery
- Partner with Data Engineering and Data Governance teams to improve data quality, lineage, accessibility and trust in key business datasets
- Influence the evolution of the enterprise data and analytics architecture to support future business needs
- Champion data literacy and foster a culture of data decision-making across the organisation
- Leadership & Development
- Lead and develop a team of analysts, ensuring high standards of analytical delivery creating a culture of technical excellence and business impact
- Foster an outcome driven mindset, ensuring analytics resources are focused on the highest-value business opportunities
- Drive continuous improvement through automation, standardisation and adoption of emerging analytical technologies
About You
Qualifications
Degree in an analytical discipline (e.g. statistics, computer science, maths) or evidence of equivalent practical experience
Knowledge/Experience:
- Proven experience in managing teams within a complex business environment
- Strong understanding of how business strategy links to commercial outcomes through analytics delivery
- Experience delivering commercial value through advanced analytics, predictive modelling, decision science or data science within a complex organisation
- Track record of translating analytical insights into measurable business outcomes, including revenue growth, customer retention, operational efficiency or risk reduction
- Experience in data visualisation and storytelling, statistical modelling, and advanced analytics techniques including how to engineer data to support robust outputs
- Excellent stakeholder management and communication skills
- Ability to lead cross-functional projects and influence at senior levels
- Experience and understanding of cloud-based analytics platforms (e.g., Azure, Databricks), data visualisation tools (e.g Power BI) and coding languages such as SQL/Python
- Good understanding of data management principles such as data quality and data ownership
Skills:
- Strategic thinker with curious mindset and strong problem-solving skills
- Ability to communicate complex concepts in a clear, concise manner
- Collaborative, inclusive and engaging style with an ability to communicate technical and non-technical information to all levels in the organisation
- Able to support, coach and motivate a team
- Adaptability and resilience in a fast-paced environment
Inclusion & Diversity
We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.
Values
- Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities.
- Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures.
- Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation.
- Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.
Core Benefits
- Holiday: 182 hours (26 days)
- Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.
- Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.
- Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.
- Life Assurance: 4x your salary.
- Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.
- Healthcare Cash Plan: Jersey employees only
In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.
Senior Analytics Manager in London employer: Quilter
Quilter is an exceptional employer located in the vibrant city of Southampton, offering a dynamic work culture that fosters collaboration and innovation. As a Wealth Sales Consultant, you will benefit from flexible working arrangements, comprehensive training, and opportunities for professional growth within the financial services sector. With a strong focus on employee well-being, including a robust pension scheme and medical insurance, Quilter is dedicated to supporting your career while ensuring a rewarding work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics 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 Quilter!
✨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 Senior Analytics Manager at Quilter.
✨Leverage Professional Networks
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 Quilter.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Manager at Quilter, 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 Senior Analytics Manager 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!
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 Quilter, 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 Quilter. 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 Quilter
✨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 Quilter!
✨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.
