Senior Revenue Data Analyst - Europe Bucharest

Senior Revenue Data Analyst - Europe
Bucureşti
Bucharest, Bucharest, Romania

At Paymentology, we’re redefining what’s possible in the payments space. As the first truly global
- 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,
- cloud platform delivers
- 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,
- driven decisions.

• 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
  - dive analysis on pricing effectiveness, retention trends, deal ROI, and win/loss outcomes to inform strategy
• Build and maintain dashboards and tooling that enable
  - service access to commercial performance data across functions
• Proactively identify leading indicators, surfacing risks and opportunities across regions and market segments

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,
- thinking environment.

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
  - technical stakeholders
• Proven ability to align
  - functional teams around commercial insights and shared data definitions
• Comfort solving unstructured problems, designing scalable analytics frameworks, and evaluating
  - 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