At a Glance
- Tasks: Use data to drive improvements and support strategic change projects.
- Company: Join Quilter, a leading wealth management business focused on brighter financial futures.
- Benefits: Up to £24,500 salary, 26 days holiday, private medical insurance, and pension scheme.
- Other info: Dynamic team environment with opportunities for growth and development.
- Why this job: Kickstart your career in data analysis and make a real impact on customer experience.
- Qualifications: Curiosity, problem-solving skills, and a keen interest in analytics are essential.
The predicted salary is between 19500 - 26000 £ per year.
Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). 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.
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.
If you’re early in your career and love the idea of using data to make real improvements for customers, this could be the perfect place to start. We’re looking for curious people who enjoy problem-solving and want to learn more about data and customer experience in financial services. If you’re keen to grow and get stuck in, we’d be happy to consider your application.
Our busy Business Performance and Optimisation team is a rewarding place to work. We are at the centre of the business in supporting process & quality optimisation, continuous improvement and problem solving. You will have the opportunity to work within our operations and wider COO function. It is an exciting time for the business with lots of change in flight. You will be able to develop your career at Quilter, through exposure to a variety of interesting work, contributing to and supporting future Lean training delivery and coaching.
We are a customer/adviser outcome driven team, and as a result are at the forefront of change in Quilter Operations. Working successfully with the business and building strong relationships with our stakeholders, we work together to implement service improvements. As an analyst in the team, you will be actively involved in various strategic change projects, using data to make recommendations for improvements and support business cases/benefit realisation.
To succeed in this role, you have/able to:
- A positive outlook and eager to learn
- Work well with people but also able to self-motivate
- An interest in analytics
- A keen eye for improving processes and outcomes for customers
- Excellent communication, numeracy, and literacy skills
- A good knowledge of Microsoft packages (Excel/Word/PowerPoint/Dynamics)
- Experience of using Microsoft Copilot (Quilter's chosen AI provider) or equivalent (AI) for writing reports/comparing information or research - desirable
- Adaptable and able to complete more than one task at a time
- Willing to talk to new people and build strong business relationships
Key Responsibilities:
- Getting to know our business
- Work with members of the team to understand what our team offer and how we work with the business to improve performance
- Shadow all members of the CSI team to understand all roles and responsibilities and current projects in progress
- Work with your coach to plan and agree a development programme to support your role
- Service & Process Improvement
- Work with your coach to analyse existing customer service processes to identify inefficiencies and areas for enhancement
- Support with the design and implementation of process improvements that align with customer expectations and business objectives
- Attend workshops and stakeholder sessions to gather insights and co-create solutions
- Performance Analysis
- Monitor and report on key performance indicators (KPIs) related to customer service
- Conduct root cause analysis on service issues and recommend data-driven solutions
- Work with your coach to present actionable insights and improvement proposals to senior stakeholders
- Project Management
- Contribute to service improvement initiatives, ensuring timely and effective delivery
- Complete project documentation and ensure alignment with Quilter's governance standards
- Stakeholder Engagement
- Build solid business relationships
- Communicate improvement plans and progress clearly and effectively with your coach
- Utilisation of Microsoft Copilot (desirable)
- Integrate Microsoft Copilot to enhance productivity and streamline workflows within the team
- Engage in best practice sharing sessions to support the adoption and effective use of Microsoft Copilot across all operational units
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.
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
Junior Data Analyst - Quilter in Southampton employer: Quilter
Quilter plc is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. With a strong commitment to employee growth, you will have the opportunity to engage with diverse teams and contribute to strategic initiatives within the asset management division. Our inclusive culture, comprehensive benefits package, and focus on integrity and curiosity make Quilter a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst - Quilter in Southampton
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We think you need these skills to ace Junior Data Analyst - Quilter in Southampton
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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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!
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✨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.
