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epay, a Euronet Worldwide Company

Data Analyst – Payments

epay, a Euronet Worldwide Company

Data Analyst analyzing payment data, dashboards, and pricing for epay, a global full-service payment provider. Supporting measurable performance improvements across the payment journey.

Posted 9/3/2026full-timeMartinsried • 🇩🇪 GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
SQL

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