Senior Revenue Data Analyst - UK
Full-time
Mid
Description
At Paymentology, we’re redefining what’s possible in the payments space. As the first truly global issuer-processor, we give banks and fintechs the technology and talent to launch and manage Mastercard, Visa cards at scale - across more than 60 countries.
Our advanced, multi-cloud platform delivers real-time data, unmatched scalability, and the flexibility of shared or dedicated processing instances. It's this global reach and innovation that sets us apart.
We’re looking for a Senior Revenue Data Analyst to act as a domain expert in commercial analytics—owning forecasting, pricing, and sales performance insights. You’ll architect scalable models and reporting infrastructure, and serve as a strategic advisor to Revenue, Finance, and Product to power confident, data-driven decisions.
What it takes to succeed:
• Strong command of Excel with experience building scenario and forecasting models
• Familiarity with CRM systems and the ability to define clear metrics and reporting inputs
• Exceptional communication skills to translate data findings for non-technical stakeholders
• Proven ability to align cross-functional teams around commercial insights and shared data definitions
• Comfort solving unstructured problems, designing scalable analytics frameworks, and evaluating trade-offs in metrics, tooling, and assumptions
Education and Experience:
• 5 or more years of data analytics experience, including at least 3 years in revenue analytics, commercial operations, or FP&A
• Bachelor’s degree in a quantitative, business, or related field preferred
• Experience operating with high autonomy and influencing stakeholders across Revenue, Finance, Product, and Tech
Our advanced, multi-cloud platform delivers real-time data, unmatched scalability, and the flexibility of shared or dedicated processing instances. It's this global reach and innovation that sets us apart.
We’re looking for a Senior Revenue Data Analyst to act as a domain expert in commercial analytics—owning forecasting, pricing, and sales performance insights. You’ll architect scalable models and reporting infrastructure, and serve as a strategic advisor to Revenue, Finance, and Product to power confident, data-driven decisions.
What it takes to succeed:
• Strong command of Excel with experience building scenario and forecasting models
• Familiarity with CRM systems and the ability to define clear metrics and reporting inputs
• Exceptional communication skills to translate data findings for non-technical stakeholders
• Proven ability to align cross-functional teams around commercial insights and shared data definitions
• Comfort solving unstructured problems, designing scalable analytics frameworks, and evaluating trade-offs in metrics, tooling, and assumptions
Education and Experience:
• 5 or more years of data analytics experience, including at least 3 years in revenue analytics, commercial operations, or FP&A
• Bachelor’s degree in a quantitative, business, or related field preferred
• Experience operating with high autonomy and influencing stakeholders across Revenue, Finance, Product, and Tech