FP&A Associate Country: Spain What you will be doing Reporting to the Global FP&A team in the HQ, in close cooperation with Getnet tech hubs and Getnet acquirers, you will have the following responsibilities: Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset.