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Data Analyst – Payments
epay, a Euronet Worldwide CompanyData Analyst analyzing payment data, dashboards, and pricing for epay, a global full-service payment provider. Supporting measurable performance improvements across the payment journey.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and reporting, with a strong focus on payment KPIs and actionable insights. Proficient in SQL and BI tools, with experience in the payments or FinTech sectors.
Highest-signal resume keywords
SQL SkillsData AnalysisBusiness Intelligence ToolsPayments Sector ExperienceStatistical Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisSQL SkillsData InterpretationReport AutomationKPI DevelopmentTrend IdentificationOptimization AnalysisPricing Models SupportData-Driven Decision Support
Soft Skills
Analytical ThinkingSelf-MotivationStructured Work ApproachConfident Communication
Tools & Technologies
Power BIDatabasesData WarehousesAI Tools
Industry Keywords
PaymentsFinTechE-CommerceBusiness InformaticsComputer ScienceMathematicsStatisticsBusiness Administration
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Develop, maintain, and automate reports and dashboards for relevant payment KPIs
- Analyze and interpret payment data across the entire payment journey
- Derive actionable recommendations from data analyses
- Identify trends, anomalies, and optimization opportunities related to conversion, costs, and payment performance
- Support pricing and calculation models in the acquiring environment
- Provide data-driven decision support
- Work closely with various departments and support them with well-founded analyses
Requirements
What you’ll need- Completed degree in business informatics, computer science, mathematics, statistics, business administration, or a comparable field of study
- At least 2–3 years of experience as a Data Analyst, Business Analyst, or in a comparable analytical role
- Ideally, experience in the payments, FinTech, or e-commerce sector
- Excellent SQL skills
- Experience with databases, data warehouses, and statistical analysis
- Experience with BI tools such as Power BI
- Experience using modern AI tools to analyze and prepare data
- High level of self-motivation, strong analytical thinking, and a structured approach to work
- Confident communication skills in German and English
Benefits
Comp & perks- Hybrid working: two days of home office per week
- Regular employee reviews and individualized professional development opportunities
- Access to the Europe-wide epay Academy with a wide range of training opportunities
- Access to the Corporate Benefits platform from day one
- Subsidy for the DeutschlandTicket
- Subsidy toward an EGYM WellPass membership
- Employee discounts after the probationary period
- Access to the Employee Benefit Club after the probationary period
- Monthly shopping voucher worth €50 after the probationary period
- Option to lease a bicycle through the company with EuroRad