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- Tasks: Analyse data to drive decisions in payments, banking, and marketing.
- Company: Join a high-performing analytics team in a dynamic environment.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by translating complex data into actionable strategies.
- Qualifications: Experience in data analysis and strong problem-solving skills required.
- Other info: Work closely with commercial leaders on high-impact projects.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Engineer / Analyst with strong commercial awareness to join a high-performing analytics team supporting data-driven decision-making across payments, banking, and marketing initiatives. This role blends deep analytical capability with business insight, enabling stakeholders to translate complex data into clear, actionable strategies.
You will work closely with cross-functional teams, using data to evaluate performance, design campaigns, optimize processes, and support commercial growth. The ideal candidate is highly analytical, commercially minded, and comfortable operating at pace in a dynamic environment.
Key Responsibilities- Perform advanced data mining, manipulation, and analysis using multiple data sources.
- Conduct data reconciliation and validation checks as standard practice to ensure accuracy and consistency.
- Identify and define key data points required to support robust analytical frameworks.
- Build and maintain business reporting and data visualizations to communicate insights clearly to stakeholders.
- Deliver customer profiling and segmentation to support targeted commercial and marketing strategies.
- Perform conversion and funnel analysis to evaluate customer behavior and campaign effectiveness.
- Support banking and payments analysis, with a focus on debit payment flows and current account performance.
- Contribute to profitability analysis and the development of business cases to support investment decisions.
- Design and evaluate marketing campaigns, including target audience definition, proposition design, test-and-learn frameworks, and measurement with statistical significance.
- Drive process optimization and automation, embedding efficiency and scalability into analytics workflows.
- Present insights confidently to senior stakeholders, translating technical findings into clear commercial narratives.
- Deliver high-quality outputs at pace, managing multiple priorities effectively.
- Strong experience in data engineering and/or data analysis roles.
- Advanced capability in data mining, data manipulation, and validation.
- Proven experience with data visualization and business reporting tools.
- Strong understanding of commercial analytics, customer behavior, and performance measurement.
- Experience with customer segmentation and profiling.
- Hands-on experience conducting conversion analysis.
- Demonstrated ability to build business cases and assess banking profitability.
- High level of comfort working with stakeholders and presenting insights clearly and confidently.
- Strong problem-solving mindset with a natural inclination toward optimization and automation.
- Debit payments expertise, ideally with experience in current accounts within a UK financial services environment.
- Experience working in banking, payments, or financial services.
- Exposure to large-scale commercial or marketing analytics programs.
- Commercially curious and business-oriented.
- Detail-focused with strong data integrity standards.
- Confident communicator and influencer.
- Comfortable working in fast-paced, high-expectation environments.
- Proactive, adaptable, and impact-driven.
This role offers the opportunity to work on complex, high-impact data initiatives while partnering closely with commercial and marketing leaders to drive measurable business outcomes.
Data Analyst in England employer: XML International
Contact Detail:
XML International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data analytics. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your data projects. Whether it’s visualisations, reports, or analyses, having tangible examples of your work can really impress potential employers. Don’t forget to share them on platforms like LinkedIn!
✨Ace the Interview
Prepare for interviews by practising common data analyst questions and scenarios. Be ready to discuss how you’ve used data to drive decisions and improve processes. Remember, it’s all about showing your analytical mindset and commercial awareness!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst. Highlight your experience in data mining, manipulation, and any relevant commercial awareness. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our high-performing analytics team. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Share specific examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at XML International
✨Know Your Data Inside Out
Before the interview, dive deep into your past data projects. Be ready to discuss specific examples of data mining, manipulation, and analysis you've done. Highlight how your insights led to actionable strategies, especially in commercial contexts.
✨Master the Art of Storytelling
When presenting your insights, think about how you can translate complex data into clear narratives. Practice explaining your findings in a way that resonates with non-technical stakeholders, focusing on the business impact of your analyses.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Emphasise your problem-solving mindset and your ability to optimise processes, as this is crucial for the fast-paced environment they’re looking for.
✨Be Ready for Technical Questions
Brush up on your technical skills, especially around data validation, visualisation tools, and customer segmentation. Expect questions that test your knowledge and experience, so be prepared to demonstrate your expertise confidently.