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Business Intelligence Expert (m/w/d)

Worldline worldline.com Open · verified Oct 24, 2026
Frankfurt Payone Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Worldline. Frankfurt Payone · no salary stated · we estimate €65,000–€82,850 across Germany.

Estimated pay

Worldline has not published a salary for this role. The figure below is our estimate, not theirs.

€65,000 – €82,850
What the middle half of mid-level data analysis & BI roles in Germany paid, among postings that did state a salary.
Worked out from 7 postings that stated pay, median €70,000. Last updated Oct 16, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationFrankfurt Payone
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze payment and merchant-portfolio risks, then track them through reporting and monitoring
  • Build and check forecasts and risk models for credit exposure and transaction risk
  • Create tailored reporting tools, including dashboards for key performance measures
  • Work with IT, risk, compliance and business teams; test models, approve releases and run backtests
  • Prepare management and shareholder decisions, and lead subject-matter work on relevant projects

What you bring

  • A degree in business information systems, statistics, mathematics, finance or a related field
  • Several years in business intelligence, data or risk analytics, ideally in payments or fintech
  • Strong command of statistical methods, forecasting, SQL/VBA and analytics tools such as Python or R
  • Very good German and English, plus experience presenting to executive audiences

Who this fits

This role suits an experienced analytics professional who can develop risk models and turn findings into clear management decisions. The position is based in Frankfurt; flexible hours and home-office options are offered.

From the employer

Who we are

PAYONE is a joint venture between Worldline and the DSV Group (Deutscher Sparkassenverlag) and one of the leading payment service providers in Germany and Austria. With more than 260,000 customers and six billion transactions processed per year, we enable merchants and service providers – whether in-store, mobile or online – to meet the demands of cashless payments through fast, simple and reliable digital processes. We offer tailored solutions for companies of all sizes and industries, designed in line with the highest security standards.

Dein Verantwortungsbereich

  • Risikoanalyse, Reporting und Monitoring im Payment-Umfeld (OLV-Acquiring, Merchant-Portfolio).
  • Entwicklung und Validierung von Prognose- und Risikomodellen für Kredit- und Transaktionsrisiken.
  • Aufbau und Weiterentwicklung einer maßgeschneiderten Reporting-Lösung inkl. KPI-Dashboards.
  • Zusammenarbeit mit IT, Risk Management, Compliance und Business-Stakeholdern.
  • Durchführung von Abnahmetests, Produktionsfreigaben und Backtesting der Modelle.
  • Erstellung von Entscheidungsgrundlagen für Management und Shareholder.
  • Begleitung von Projekten mit fachlichem Bezug und fachliche Projektleitung.

Deine Vorteile

Die Wertschätzung jedes Einzelnen liegt PAYONE am Herzen und dazu gehört auch, die Leistung zu erkennen und entsprechend zu belohnen. Deswegen bietet PAYONE unter anderem:

  • Flexible Arbeitszeiten inklusive Homeoffice Möglichkeiten
  • Mobility Konzepte
  • Eine offene und transparente Unternehmenskultur
  • Aus- und Weiterbildungsmöglichkeiten
  • Spannende Aufgabenfelder in einem zukunftsorientierten Unternehmen

Das bringst du mit

  • Hochschulabschluss in Wirtschaftsinformatik, Statistik, Mathematik, Finance oder vergleichbar.
  • Mehrjährige Berufserfahrung in Business Intelligence, Data Analytics oder Risk Analytics, ideal im Payment/FinTech-Umfeld.
  • Sehr gute Kenntnisse in statistischen Methoden, Prognosemodellen, SQL/VBA sowie Data-Analytics-Tools (Python/R bevorzugt).
  • Erfahrung mit IFRS 9, Basel-Regularien oder vergleichbarer Finanzregulierung im Payment-Bereich ist vorteilhaft.
  • Sehr gute MS-Office-Kenntnisse; gute Datenbankkenntnisse und Fähigkeit zur Datenvisualisierung.
  • Starke Kommunikationsfähigkeit in Deutsch und Englisch; Präsentationserfahrung auf Executiv-Ebene.

We are on an exciting journey in the payments industry and we are looking for proactive people who can drive positive change, take on topics actively and show what comes next, helping to move the organisation forward. At PAYONE, you will work with determined colleagues from all over the world to tackle unique challenges as a team and make a real impact on society. With an encouraging company culture, strong technology and extensive training opportunities, we support you in advancing your career. Join our team of more than 18,000 people worldwide and help shape the future – because it is yours too.

Learn more about life at PAYONE at jobs.worldline.com/payone

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.