Job 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 you get to do::

• Architect forecasting models and reporting decks for revenue tracking, pipeline health, and pricing insights
• Partner with FP&A stakeholders to define metrics, establish data governance, and align reporting across teams
• Conduct deep-dive analysis on pricing effectiveness, retention trends, deal ROI, and win/loss outcomes to inform strategy
• Build and maintain dashboards and tooling that enable self-service access to commercial performance data across functions
• Proactively identify leading indicators, surfacing risks and opportunities across regions and market segments

What you can look forward to::
At Paymentology, it's not just about building great payment technology, it's about building a company where people feel they belong and their work matters. You'll be part of a diverse, global team that's genuinely committed to making a positive impact through what we do. Whether you're working across time zones or getting involved in initiatives that support local communities, you'll find real purpose in your work - and the freedom to grow in a supportive, forward-thinking environment.
Travel:
< 10%
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

Skills Required