Business Intelligence and Data Analytics

Responsibilities

• Develop mathematical and actuarial models for loss projection and insurable operational risk analysis
• Design and evolve business intelligence and reporting solutions to transform complex data into actionable insights
• Lead the implementation and evolution of the data governance model within the Insurance function
• Coordinate and centralize global reporting for insurable risks in collaboration with international business units
• Contribute to the global planning and monitoring of the Insurance budget
• Collaborate with multidisciplinary international teams to align business needs with analytical capabilities
• Participate in global projects focused on continuous improvement, automation, and process optimization

Requirements

• University degree in Mathematics, Economics, Engineering, or Actuarial/Financial Sciences
• Minimum of 5 years of experience in risk analysis, modeling, or similar roles
• C1 English proficiency (fluent written and spoken)
• Strong knowledge of actuarial, mathematical, and statistical modeling
• Expertise in risk management and various insurance specialties (Property, Liability, Cyber, etc.)
• Proficiency with data analysis and business intelligence tools, specifically Power BI
• Knowledge of captive insurance companies and reinsurance
• Experience with project management and Agile methodologies
• Strong analytical, synthesis, and communication skills

Benefits

• Competitive salary and social benefits
• Flexible working hours with a continuous work year
• Opportunities for professional development through the Iberdrola Campus
• Work within a dynamic, highly qualified team on innovative global projects
• Comprehensive welcome program and training period

About the Company

Iberdrola is a global energy leader and a world leader in renewable energy. The group supplies energy to approximately 100 million people across dozens of countries and is committed to leading the energy transition toward a sustainable model through investments in renewables, smart grids, and digital transformation.