Data Analyst – Payments

Jobtailor; Martinsried; Vor Ort; EUR 52.000 - 66.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data analyst to develop and automate reports on payment KPIs, and to analyze the full payment journey. You will derive actionable insights and support pricing models in the acquiring environment, collaborating with multiple departments across Germany.

You should have a degree in a quantitative field, 2–3 years of experience, strong SQL, BI tooling, and experience with AI tools, with fluent German and English communication. This role is based in Martinsried, Bayern, Germany.

Qualifikationen

• 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.

Aufgaben

• 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

Kenntnisse

SQL Skills

Power BI

AI Tools

German language

English language

Ausbildung

Degree in Business Informatics/CS/Math/Statistics/Business Administration

Tools

Databases

Data Warehouses

AI Tools

Jobbeschreibung

• 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

• 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

Core Competencies

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 Skills
• Data Analysis
• Business Intelligence Tools
• Payments Sector Experience
• Statistical Analysis

Hard Skills

• Data Analysis
• Statistical Analysis
• SQL Skills
• Data Interpretation
• Report Automation
• KPI Development
• Trend Identification
• Optimization Analysis
• Pricing Models Support
• Data-Driven Decision Support

Soft Skills

• Analytical Thinking
• Self-Motivation
• Structured Work Approach
• Confident Communication

Industry Keywords

• Payments
• FinTech
• E-Commerce
• Business Informatics
• Computer Science
• Mathematics
• Statistics
• Business Administration

Tools & Technologies

• Power BI
• Databases
• Data Warehouses
• AI Tools