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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 hours, and opportunities for professional growth.
- Why this job: Make an impact by turning complex data into actionable strategies.
- Qualifications: Strong analytical skills and commercial awareness required.
- Other info: Collaborate with cross-functional teams and enhance your data skills.
The predicted salary is between 28800 - 48000 £ 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.
Data Analyst in London employer: XML International
Contact Detail:
XML International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills and understanding the business side of things. We recommend practising common interview questions and scenarios related to data-driven decision-making to show you’re ready to hit the ground running.
✨Tip Number 3
Showcase your analytical prowess! Create a portfolio of projects or case studies that highlight your data mining and visualisation skills. We love seeing real examples of how you’ve turned complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t want to miss!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills and any relevant experience in data mining, manipulation, and analysis. We want to see how you can bring value to our team!
Showcase Your Projects: Include specific projects or examples where you've used data to drive decisions or improve processes. This helps us understand your practical experience and how you can contribute to our analytics team.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your skills align with our needs. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at XML International
✨Know Your Data Inside Out
Make sure you’re well-versed in data mining and manipulation techniques. Brush up on your skills with tools like SQL, Python, or R, as these are often crucial for a Data Analyst role. Be ready to discuss specific projects where you've used these skills to drive business insights.
✨Understand the Business Context
Since this role requires strong commercial awareness, take time to research the company’s industry, especially in payments and banking. Familiarise yourself with their products and services, and think about how data can enhance their strategies. This will help you demonstrate your ability to translate data into actionable insights.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Practice articulating your thought process when conducting data reconciliation or validation checks. Use examples from your past experiences to showcase how you’ve tackled similar challenges and what the outcomes were.
✨Showcase Your Communication Skills
As a Data Analyst, you’ll need to present complex data clearly to stakeholders. Prepare to discuss how you’ve built reports and visualisations in the past. Bring along examples of your work if possible, and be ready to explain how you made data insights accessible and actionable for non-technical audiences.
