Embedded software developer állás, munka

• Develop and maintain the Group Card reporting and analytics system
• Build automated, consolidated reporting tools and support the development of the Group fuel card data model
• Introduce advanced analytics and data‑mining practices to support decision making

• Own, maintain, and further develop the Group Card reporting and analytics system
• Build automated, group-level reporting tools and shape the development of underlying data models
• Support sales and pricing teams with market‑specific reports and deep‑dive analyses

• Forecasting revenue impact for new product launches
• Reconciling actual results leveraging advanced variance analysis tools
• Establishing narratives of underlying business drivers impacting the results

• Pénzügyi adatok gyűjtése, rendszerezése és elemzése 
• Kintlévőség kezelés felügyelete 
• Költségvetés (budget) összeállítása és terv–tény eltérések elemzése 
• Pénzügyi modellek, előrejelzések, cash-flow tervek készítése 
• Beruházások és projektek pénzügyi értékelése (ROI, NPV, IRR) 

Build and maintain knowledge assets around banking market sizing Serve clients by leveraging tools to bring insights around the banking landscape Maintain and create databases by undertaking fundamental research in central bank documents and commercial bank annual reports globally Incorporate...

Build and optimize analytical models to support sales forecasting, pipeline management, territory planning, and performance evaluation Monitor pharmaceutical industry trends, market dynamics, and emerging technologies to support strategic planning Conduct competitive intelligence and market...

• Contribute to the preparation and consolidation of the Group's financial statements (Balance Sheet, P&L, and Cash Flow), ensuring accuracy and consistency of reported data.
• Prepare and monitor monthly reports and KPIs, supporting variance analysis versus prior year and budget.

• Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
• Supporting projects related to credit risk quantification, including data infrastructure and quality