At a Glance
- Tasks: Shape the future of data by leading high-impact initiatives and designing reusable data services.
- Company: Join Capital One, a top-rated workplace committed to diversity and innovation.
- Benefits: Enjoy competitive salary, extensive career development funding, and a comprehensive benefits package.
- Other info: Hybrid work model with modern office amenities and a culture of belonging.
- Why this job: Make a real impact in data analytics while working in a supportive and inspiring environment.
- Qualifications: Experience in data analysis and strategy, with strong skills in SQL and Python.
The predicted salary is between 63000 - 77000 £ per year.
Our Mission
We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK.
About the Role
Shape the future of UK Data by embedding data architecture, governance, and business context right at the inception of major strategic initiatives. Champion semantic clarity and data lineage, building the foundational metadata layer required for modern AI and agentic tooling to safely consume enterprise data. Translate complex, ambiguous commercial intent across marketing, decisioning, and MI into robust, scalable, and buildable data requirements. Lead high-impact initiatives as a senior individual contributor, delivering strategic influence and technical authority without direct people management. Design and deliver reusable data services that eliminate repetitive build cycles and establish high-quality data practices as the effortless organisational standard.
What you’ll do
Partner with cross-functional project teams at inception to establish data requirements, lineage, and governance before solutions are finalised. Capture semantic definitions and conceptual relationships from day one, establishing an AI-ready data catalogue rather than relying on retrospective clean-ups. Collaborate with commercial teams to deliver data solutions such as Reporting, Decisioning, and MI to translate business ambitions into dependable data services. Design, engineer, and promote reusable data services and products to ensure teams across the business do not reinvent data infrastructure from scratch. Act as a trusted, authoritative voice for Data in non-technical and executive forums, minimising project delivery risk and late-stage rework.
The skills and experience you need
Extensive experience in data analysis, data strategy, or data management within large, complex, and fast-paced enterprise environments. Proven track record operating as a senior individual contributor, driving outcomes, building credibility, and influencing senior stakeholders without direct reporting lines. Strong practical knowledge of semantic data modelling, metadata management, and data cataloguing principles essential for AI-ready data ecosystems. Proficiency in SQL and Python, alongside practical working familiarity with AWS cloud services (exposure to Java is an advantageous bonus). Demonstrated ability to translate ambiguous commercial strategy into concrete technical requirements, with an awareness of agentic AI tooling and modern workflows.
Where and how you'll work
This is a permanent position based in our Nottingham or London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.
What’s in it for you
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:
- Wealth & Future: Competitive pension and performance-based bonus schemes
- Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.
- Health: Access premium care through our private medical insurance.
- Family Support: We champion your milestones with enhanced parental leave.
A full list of our benefits is available here.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace.
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Data Analytics Manager (Individual Contributor) in Nottingham employer: Capital One
Capital One is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong commitment to employee growth, we provide ample opportunities for professional development and leadership training, ensuring our team members thrive in their careers. The hybrid working model enhances work-life balance, making Capital One a rewarding place to contribute to meaningful projects in the global payments landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Manager (Individual Contributor) in Nottingham
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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 Capital One.
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We think you need these skills to ace Data Analytics Manager (Individual Contributor) in Nottingham
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 Capital One, 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 Capital One. 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 Capital One
✨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 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
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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.
