data analyst in banking

BNP Paribas Personal Finance is a banking and financial services company that promotes more responsible and sustainable consumption for customers and partners. It operates across multiple countries and provides financial solutions through banking, investment, protection, savings, and real estate services.

• Run Python-based analytical engines regularly;
• Collect internal and external data and investigate its business value through analysis and visualization;
• Create and adapt data analysis models and tools;
• Build, execute, and automate ETL processes using Python and SQL for analytical needs;
• Develop and improve data quality controls and standardize processes and analyses;
• Ensure high-quality delivery;
• Collect and visualize KPIs for the performance of in-house models;
• Execute and quantify lean processes.

• No specific qualifications were stated;
• Applications must be submitted in English.

• Hybrid work model in Lisbon and Porto;
• Initial onboarding plan with on-the-job training, online learning, and networking opportunities;
• Eligible employees can use flexible remote working options within the hybrid work framework;
• Office and home equipment are provided to eligible employees;
• Equipment allowance is available;
• Exclusive partnerships provide discounts on additional equipment;
• Smart Working program supports work-life balance.