Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the creation of Payments BI and drive impactful analytics for revenue growth.
- Company: Dynamic technology firm in the UK focused on payment performance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional development.
- Why this job: Make a real impact by improving payment performance and delivering key insights.
- Qualifications: 5+ years in payments analytics, expert SQL skills, and knowledge of BI tools.
- Other info: Join a collaborative team dedicated to innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
A technology firm in the UK seeks a Senior Payments Analyst to create and own Payments BI, focusing on analytics, KPI reporting, and decision support.
The role requires:
- Over 5 years of experience in payments analytics
- Expert SQL skills
- Knowledge of BI tools
- Hands-on experience with KPI frameworks
- A comprehensive understanding of the payments lifecycle
Join a dynamic team dedicated to improving payment performance and deliver impactful insights across the organization.
Senior Payments BI Lead — Build Revenue-Impact Analytics employer: Rival
Contact Detail:
Rival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Payments BI Lead — Build Revenue-Impact Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the payments and BI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past work in payments analytics. This will help us see your expertise in action.
✨Tip Number 3
Get ready for the interview! Brush up on your SQL and BI tools knowledge, and be prepared to discuss how you've used KPIs to drive decisions in previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Payments BI Lead — Build Revenue-Impact Analytics
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in payments analytics. We want to see how you've tackled challenges and delivered results in your previous roles, so don’t hold back!
SQL Skills are Key: Since expert SQL skills are a must-have for this role, be sure to showcase your proficiency. Include specific examples of how you've used SQL to drive insights or improve processes in your past work.
KPI Frameworks Matter: We’re looking for someone with hands-on experience in KPI frameworks. Share any relevant projects where you’ve developed or managed KPIs, and explain how they impacted decision-making.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Rival
✨Know Your Payments Analytics Inside Out
Make sure you brush up on your payments analytics knowledge. Be prepared to discuss specific KPIs you've worked with and how they impacted business decisions. This shows you not only understand the metrics but can also apply them effectively.
✨Show Off Your SQL Skills
Since expert SQL skills are a must, practice writing complex queries before the interview. Be ready to explain your thought process when solving data-related problems. This will demonstrate your technical prowess and problem-solving abilities.
✨Familiarise Yourself with BI Tools
Research the BI tools commonly used in the industry and be prepared to discuss your experience with them. If you have a favourite tool, share how it has helped you deliver insights and improve payment performance in previous roles.
✨Understand the Payments Lifecycle
Having a comprehensive understanding of the payments lifecycle is crucial. Be ready to discuss how different stages impact analytics and decision-making. This will show that you can connect the dots between data and real-world applications.
