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Deutsche Börse

Analyst - Financial Controller - FTC (f/m/d)

Luxembourg

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Tools in this posting

  • sql
  • excel
  • sap
  • powerbi
Source — Tool mentions in context
- Advanced knowledge of SAP Analytics Cloud (SAC), SAP ERP (S/4HANA), SAP BW/4HANA, and SAP Analysis for Office (AfO) - Proven experience building dashboards and reporting solutions using SAC, Power BI, Excel, SQL, and Eclipse BW Modeller - Experience performing data-quality controls, data validation, and analytical reviews to ensure accuracy and completeness of financial and operational data
- Hands-on experience supporting monthly closing, revenue forecasting, financial reporting, and management reporting processes - Advanced knowledge of SAP Analytics Cloud (SAC), SAP ERP (S/4HANA), SAP BW/4HANA, and SAP Analysis for Office (AfO) - Proven experience building dashboards and reporting solutions using SAC, Power BI, Excel, SQL, and Eclipse BW Modeller

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Luxembourg

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Posting history
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Active
First seen by us
Sep 9, 2026
Recorded sightings
2

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Education & alternatives
Your profile: - You have completed your Bachelor degree in Mathematics, Economics or Finance - Initial professional experience in Revenue Controlling, Financial Controlling, Management Reporting, Business Intelligence, or Performance Steering gained through internships and/or full-time roles

Job description

Your area of work:

Would you like to work closely with senior management on all aspects of revenues controlling and reporting? Do you like to analyze big data, work with prediction tools and macro-economic data in order to generate relevant insights? Then join our Revenue Controlling team, which is responsible for more than €6bn net revenues. As a successful candidate, you will take on “End-to-End” responsibility for closing activities, reporting of past and future as well as budgeting. Furthermore you contribute to Deutsche Börse Group overall steering by forecasting revenues from short, mid- and long-term perspectives.

This contract is a fixed term contract until 31st December 2027.

 

Your responsibilities:Responsible for Revenue Controlling of our Post-Trading segments in Deutsche Börse Group in accordance with local GAAP and IFRS

‒            Monthly closing related tasks, e.g.

  • Ensure completeness and correctness of all revenue bookings in time and quality
  • Set up of product master data and product hierarchies
  • Ensure correct delivery of volumes for external publication on DBG website

 

‒            Reporting related tasks, e.g.

  • Ensure high level of quality and timely production of revenues reporting (Actuals, Budget, Forecast)
  • Comment on current business development, analyze news trends with regards to Topline via usage of BI tools
  • Support internal and external Audits

 

‒            Budgeting/Forecasting related tasks, e.g.

  • Develop budget figures for upcoming years and align with business counterparties
  • Create monthly net revenue forecasts to support the steering of the group
  • Constantly improve current revenue forecast model in order to deliver all regular Forecast updates to Top Management in high quality

 

Your profile:

  • You have completed your Bachelor degree in Mathematics, Economics or Finance
  • Initial professional experience in Revenue Controlling, Financial Controlling, Management Reporting, Business Intelligence, or Performance Steering gained through internships and/or full-time roles
  • Strong understanding of revenue reporting, revenue reconciliation, budgeting, forecasting, variance analysis, data validation, and KPI monitoring
  • Hands-on experience supporting monthly closing, revenue forecasting, financial reporting, and management reporting processes
  • Advanced knowledge of SAP Analytics Cloud (SAC), SAP ERP (S/4HANA), SAP BW/4HANA, and SAP Analysis for Office (AfO)
  • Proven experience building dashboards and reporting solutions using SAC, Power BI, Excel, SQL, and Eclipse BW Modeller
  • Experience performing data-quality controls, data validation, and analytical reviews to ensure accuracy and completeness of financial and operational data
  • Strong analytical mindset with the ability to translate complex data into actionable business insights through statistical, trend, and variance analysis
  • Exposure to AI and advanced analytics tools, including statistical analysis, business analysis, predictive modelling, and generative AI applications
  • Proactive, self-motivated, detail-oriented, and committed to continuous process improvement
  • Excellent written and spoken English; knowledge of German would be considered an asset