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For Companies At a Glance
- Tasks: Analyse payment data, generate insights, and support decision-making across platforms.
- Company: Dynamic financial services company located in Canary Wharf.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team where your data skills can drive real change in payments.
- Qualifications: Experience as a Data Analyst with strong SQL and data visualisation skills.
- Other info: Collaborative environment with a focus on innovation and process improvement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled Data Analyst with experience in payments data to join our team on a permanent, hybrid basis. The successful candidate will be responsible for analysing large and complex payment datasets, generating insights, and supporting business and operational decision-making across payment platforms and processes.
Key Responsibilities
- Analyse and interpret payment transaction data across multiple channels.
- Develop and maintain dashboards and reports to monitor payment performance, trends, and exceptions.
- Identify patterns, anomalies, and risks within payment data to support fraud prevention, compliance, and operational efficiency.
- Work closely with stakeholders across technology, operations, finance, and risk teams to understand data requirements.
- Support regulatory, audit, and governance reporting related to payments.
- Ensure data accuracy, integrity, and consistency across reporting outputs.
- Contribute to process improvements through data-driven insights and recommendations.
- Document data definitions, logic, and analytical methodologies.
Required Skills & Experience
- Proven experience as a Data Analyst, ideally within banking, financial services, or payments.
- Strong SQL skills and experience working with large datasets.
- Experience with data visualisation tools (e.g. Power BI, Tableau, or similar).
- Solid understanding of payment systems and transaction lifecycles.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to communicate insights clearly to both technical and non-technical stakeholders.
Desirable Skills
- Experience with Python, R, or similar analytical tools.
- Knowledge of regulatory requirements affecting payments (e.g. PSD2, AML).
- Experience working in agile or fast-paced environments.
Data Analyst in London employer: NLB Services
Contact Detail:
NLB Services 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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on a Data Analyst role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving payments data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation tools. Be ready to discuss how you've used these skills in real-world scenarios, especially in banking or financial services.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to get noticed by our hiring team.
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 experience with payments data, SQL skills, and any relevant tools like Power BI or Tableau. We want to see how your background fits perfectly with what we're looking for!
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 your skills can help us at StudySmarter. Be sure to mention specific experiences that relate to the job description.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of how you've analysed complex datasets or developed dashboards in previous roles. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at NLB Services
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with payment datasets. Be ready to discuss specific projects where you analysed transaction data, highlighting any patterns or anomalies you discovered. This will show your expertise and give you confidence during the conversation.
✨Showcase Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your knowledge. Brush up on common SQL queries and be ready to explain how you've used them to extract insights from large datasets. You might even want to practice a few sample problems to keep your skills sharp.
✨Visualisation is Key
Familiarise yourself with data visualisation tools like Power BI or Tableau. Prepare examples of dashboards or reports you've created in the past. Being able to visually communicate your findings can set you apart, so think about how you can present complex data in an easily digestible format.
✨Understand the Bigger Picture
Research the company’s payment systems and regulatory environment. Knowing about PSD2 or AML regulations can help you connect your analytical skills to their business needs. This shows that you're not just a number cruncher but someone who understands the implications of your work.
