At a Glance
- Tasks: Lead data analysis to drive strategic insights and decision-making.
- Company: Join Capital One, a top-rated workplace focused on innovation and collaboration.
- Benefits: Enjoy competitive salary, extensive learning opportunities, and a comprehensive benefits package.
- Other info: Hybrid work model with inspiring office facilities and a culture of belonging.
- Why this job: Shape the future of data analytics in a dynamic and supportive environment.
- Qualifications: Proven experience in data analytics with strong technical skills in SQL and programming.
The predicted salary is between 60000 - 75000 £ per year.
Location: Nottingham, United Kingdom
Client / Employer: Capital One UK
Job Information
Job reference: e836cf7ddb35e5c00d91bd7190dac93c
Role Overview
Lead Data Analyst – responsible for leading data strategy, analysis, and governance to support strategic initiatives in Capital One’s UK operations.
Responsibilities
- Design, build, and govern robust data solutions, including complex data extraction, transformation, and reporting.
- Collaborate with senior stakeholders and cross‑functional teams to deliver advanced data solutions, tools, and self‑service frameworks.
- Identify opportunities across diverse data sources to generate strategic insights and champion emerging technologies.
- Act as subject‑matter expert in key data domains, providing guidance and representing data value across the business.
- Lead, mentor, and support the data team to foster a collaborative culture and ensure consistent delivery.
Qualifications
- Significant experience in senior data roles with advanced coding, data transformation, and end‑to‑end solution design.
- Expert SQL and relational database knowledge, with proficiency in at least one additional language (Python, R).
- Strong strategic thinking, problem‑solving, and ability to influence senior stakeholders.
- Proven technical leadership, managing competing priorities and promoting data best practices.
- Risk awareness and adaptability within fast‑moving environments.
Benefits
- Competitive pension and performance‑based bonus schemes.
- Annual leave starting at 25 days, with option to purchase additional days.
- Private medical insurance for health coverage.
- Career development funding up to £5,000 for external qualifications.
Working Arrangements
Permanent position based in Nottingham office. Hybrid model: work in‑office Tuesday‑Thursday; work‑from‑home Monday and Friday.
Diversity and Inclusion
Capital One is committed to diversity, inclusion, and belonging. We provide reasonable adjustments to support all applicants and maintain confidentiality throughout the recruitment process.
This role is no longer accepting applications.
Lead Data Analyst employer: Capital One UK
At Capital One, we pride ourselves on being a top employer, consistently recognised for our commitment to employee growth and wellbeing. Our Nottingham office offers a vibrant work culture with modern facilities, including an on-site gym and dedicated learning spaces, while our hybrid work model promotes flexibility. With extensive career development opportunities and a comprehensive benefits package, we empower our associates to thrive in a diverse and inclusive environment where innovation and collaboration are at the forefront.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data skills. We recommend using real-world examples from your experience to demonstrate your expertise.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application, drop a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals, and applying directly through us can give you an edge!
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Analyst role. Highlight your relevant experience in data analytics, technical skills, and any leadership roles you've held. We want to see how you can bring your unique expertise to our team!
Showcase Your Technical Skills:Since this role requires strong SQL and programming skills, don’t shy away from showcasing your technical prowess. Include specific projects or achievements that demonstrate your ability to handle complex data challenges. We love seeing real examples of your work!
Be Authentic:Let your personality shine through in your application. We value diversity and authenticity, so don’t hesitate to share what makes you unique. Whether it’s your approach to problem-solving or your passion for data, we want to know the real you!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, your application will be seen by the right people, and you’ll be one step closer to joining our amazing team at Capital One!
How to prepare for a job interview at Capital One UK
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your data analytics skills. Be prepared to discuss your experience with SQL and any other programming languages you've used. Think of specific projects where you led data extraction or manipulation, and be ready to explain your thought process and the impact of your work.
✨Showcase Your Strategic Thinking
Capital One is looking for someone who can think strategically about data. Prepare examples that demonstrate how you've solved complex problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your insights influenced decision-making.
✨Emphasise Collaboration Skills
As a Lead Data Analyst, you'll need to work closely with senior stakeholders and cross-functional teams. Be ready to share experiences where you successfully collaborated on projects. Discuss how you’ve influenced others and contributed to team culture, as this will show your leadership potential.
✨Be Ready for Technical Challenges
Expect some technical questions or case studies during the interview. Practice explaining your approach to data governance and risk management. You might be asked to solve a problem on the spot, so stay calm and think through your process out loud to demonstrate your analytical capabilities.
