At a Glance
- Tasks: Lead data analysis projects, driving strategic insights and innovative solutions.
- Company: Join Capital One, a forward-thinking tech company reshaping banking.
- Benefits: Enjoy competitive salary, flexible work, and comprehensive health benefits.
- Other info: Hybrid work model with excellent career growth and a vibrant team culture.
- Why this job: Make a real impact in data analytics while shaping the future of banking.
- Qualifications: Proven experience in data roles with strong SQL and Python skills.
The predicted salary is between 60000 - 75000 £ per year.
Our Mission
We’re on a mission to be a force for good in lending.
About the role
Are you a proven data leader with the vision, judgement, and technical depth to shape high‑impact analytical strategy? Data Analysis is at the core of our UK business, delivering critical insights that influence strategic direction and drive information‑led decision‑making. In this role, you will play a defining part in steering analytical excellence, leading complex and high‑risk initiatives, and setting the agenda for some of the most strategically important areas of the business.
Drawing on advanced technical expertise and sound decision‑making, you will design, build, and govern robust data solutions—elevating analytical capability across the organisation and ensuring complex business data is transformed into clear, actionable intelligence.
What You’ll Do
On any given day, you’ll operate across strategic problem‑solving, technical leadership, innovation, and data governance.
- Data Extraction & Manipulation – Leading the delivery of highly complex, business‑critical data work with total autonomy, ensuring accuracy, resilience, and scalability.
- Collaboration & Solution Development – Partnering with senior stakeholders and cross‑functional teams to shape, influence, and deliver advanced data solutions, tools, and self‑service frameworks that enable smarter decision‑making.
- Insight Generation & Innovation – Proactively identifying opportunities across diverse data sources to generate strategic insights, whilst rapidly assessing, adopting, and championing emerging technologies to enhance analytical capability.
- Subject Matter Expertise & Representation – Acting as a recognised expert in key data domains, providing authoritative guidance, making informed decisions, and representing the strategic value of data across the wider business.
- Leadership & Team Culture – Supporting the wellbeing, cohesion, and performance of the team, driving positive cultural change, and ensuring smooth, consistent delivery through mentorship and technical guidance.
- Expertise in Data Analytics – Significant experience in senior data roles with a strong technical and analytical foundation, including advanced proficiency in coding, data transformation, and end‑to‑end solution design.
- Technical Excellence – Expert SQL capability and relational database knowledge are required, with strong proficiency in at least one additional programming language (e.g. Python, R) to independently deliver high‑risk technical work.
- Initiative, Ownership & Leadership – Demonstrated experience as a technical leader within a data team, with a proven ability to manage competing priorities, drive delivery at pace, and promote data best practices.
- Risk Awareness & Adaptability – Proven experience in identifying and managing data and process risk, coupled with resilience and adaptability in fast‑changing business environments.
Where and how you'll work
This is a permanent position based in our Nottingham 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.
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.
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.
- Health: Access premium care through our private medical insurance.
We champion your milestones with enhanced parental leave. 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 value diversity, inclusion and belonging at our core. 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.
Lead Data Analyst Python SQL in Derby employer: Capital One UK
At Capital One, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Nottingham office provides a hybrid working model, allowing for flexibility while enjoying amenities like an on-site gym and restaurant. With a strong focus on employee growth, comprehensive benefits, and a commitment to diversity and inclusion, we empower our team members to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst Python SQL in Derby
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We think you need these skills to ace Lead Data Analyst Python SQL in Derby
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 UK, 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 UK. 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 UK
✨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
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 Capital One UK!
✨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.