Data analytics senior állások, munkák Üzleti elemző kategóriában

• Create standard and ad-hoc reports
• Generate reports to provide answers to specific sales-related questions from upper management
• Work closely with sales teams to understand their data needs
• Develop dashboards and visualizations to effectively communicate key sales metrics in SAP Analytics Cloud

• Provide accurate data and high-quality insights on Sales & Commercial Services processes
• Create and maintain a wide set of tools like reports and applications using platforms for actionable insights

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.

Contribute significantly to the further development of N26's mortgage credit risk function, aligning with N26's growth aspirations, robust risk management objectives, and stringent regulatory compliance requirements within the retail mortgage business....

• Support KPI and management reporting; develop and maintain senior management dashboards (Power BI)
• Build Power BI data models and Power Apps/Power Automate solutions
• Assist governance work (e.g., IIA alignment, audit manual updates, QA activities, surveys)

Own and manage defined RevOps and commercial strategy topics, applying a solid understanding of commercial methods, systems and processes. Be accountable for outcomes across areas such as funnel performance, pricing effectiveness, customer lifecycle and retention...

IntroAre you a curious and proactive Business Analyst who enjoys working with data and understanding how the business really works? Being part of Proceq you will collaborate closely with commercial, IT, and data teams to turn complex information into clear insights. If you like improving reports,...

• Lead performance analysis by identifying key trends, risks, and opportunities based on large and complex data sets.
• Translate financial and business questions into structured data-driven analyses and scenario models.