Join La Banque Postale as a Data Analyst to harness your expertise in data analysis for enhancing financial services and customer experiences. Collaborate with cross-functional teams to transform raw data into actionable insights that drive strategic decisions in the banking sector.

La Banque Postale is seeking a talented Data Analyst to join our dynamic team in supporting data-driven initiatives across our banking operations. In this role, you will be responsible for collecting, processing, and analyzing large datasets to uncover trends, identify opportunities for optimization, and inform business strategies. You will work closely with finance, marketing, and operations teams to develop reports and dashboards that provide clear insights into customer behavior, risk assessment, and performance metrics.

Key responsibilities include:

• Extracting and cleaning data from various sources using SQL and Python scripting
• Building and maintaining interactive visualizations to communicate complex data effectively
• Conducting statistical analysis to support forecasting and predictive modeling
• Collaborating on projects involving machine learning applications for fraud detection and personalized services
• Ensuring data accuracy, security, and compliance with financial regulations
• Contributing to the continuous improvement of data pipelines and analytical processes

This position offers the chance to make a meaningful impact in a leading French financial institution while enjoying the flexibility of remote work. If you are passionate about data and eager to contribute to innovative banking solutions, we encourage you to apply.

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
• Proven experience in data analysis, preferably in the finance or banking industry
• Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills to present findings to non-technical stakeholders
• Knowledge of regulatory requirements in financial data handling (e.g., GDPR, Basel III)
• Certification in Data Analysis or equivalent (required for remote certified projects)

• Competitive monthly salary range based on experience
• Fully remote work with flexible hours to support work-life balance
• Comprehensive health and wellness benefits, including medical insurance and mental health support
• Professional development opportunities, including training and certification reimbursements
• Generous paid time off and parental leave policies
• Access to modern tools and technologies for efficient remote collaboration
• Employee assistance programs and team-building virtual events