A data-driven role focused on analyzing payment operations and fraud prevention patterns across distribution channels while leveraging advanced analytics to drive strategic improvements.
Location : Barcelona, Spain
Key Responsibilities :
Execute in-depth analysis of payment performance metrics using SQL, Python, or similar tools
Build and maintain dashboards for real-time monitoring of fraud patterns and payment trends
Develop predictive models for fraud detection and payment optimization
Create comprehensive reports and data visualizations for stakeholder communication
Process Optimization :
Analyze large datasets to identify payment processing inefficiencies
Conduct statistical analysis to optimize payment acceptance rates
Design and monitor KPIs for payment and fraud performance
Technical Integration :
Analyze technical requirements for payment / fraud solution implementations
Support API integrations and database management
Monitor system performance and data integrity
Cross-functional Collaboration :
Translate complex data insights into actionable business recommendations
Partner with IT teams to improve data collection and reporting systems
Support Commercial and Finance teams with data-driven insights
Maintain relationships with payment and fraud solution providers
Education : University Degree
Experience :
At least 3 years of experience in payments or fraud
Proficiency in SQL and database management
Experience with business intelligence tools (e.g., Tableau, Power BI)
Strong analytical and quantitative skills
Knowledge of statistical analysis and modeling
Understanding of payment gateway systems and APIs
Business Competencies :
Knowledge of payments (fraud knowledge is a plus)
Ability to translate complex data into clear business insights
Problem-solving and analytical thinking
Project management capabilities
Independent worker with strong attention to detail
Team player with excellent communication skills
Languages : Spanish : fluent
Required Technical Skills :
Database querying and management
Data visualization and reporting
Statistical analysis tools
Payment gateway integration experience
Desired Skills :
Python or R programming
Machine learning experience
ETL processes knowledge
Success Metrics :
Quality and accuracy of data analysis
Implementation of automated reporting solutions
Reduction in fraud rates through data-driven solutions
Improvement in payment acceptance rates
Development of predictive models
This position offers the opportunity to leverage advanced analytics in driving payment operations and fraud prevention improvements while working with cutting-edge technologies and diverse stakeholders.
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Accounting / Auditing and Finance, Business Consulting and Services
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