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Senior Insurance Business Analyst

Zurich Insurance Group

Barcelona

Salario no publicado

Disponible en

Sobre el puesto

Overview

As Senior AI Business Analyst at Zurich/ServiZurich, you translate business needs into data specifications and serve as a bridge between business, data, and IT to embed AI into processes. You will collaborate with cross-functional teams to deploy AI-driven solutions that enhance operational effectiveness and risk decisions. You will monitor model performance, improve data quality and feature engineering, and uphold Responsible AI practices. This role supports Zurich’s data-driven transformation and innovation.

Compensaciones / Beneficios

  • flexible working model
  • home office allowance
  • training programs (languages)
  • Health Insurance
  • Life and accident insurance
  • Retirement plan

Responsabilidades

  • Translate business needs into clear data specifications with stakeholders
  • Adapt AI solutions and data schemas for country-specific requirements; configure prompts
  • Support new feature implementations for AI solutions
  • Maintain and extend data schemas to capture relevant data
  • Monitor accuracy and impact of AI models; collaborate on data quality and feature engineering
  • Align AI use with Responsible AI principles; drive continuous improvement
  • Bridge between business, data, and IT; provide user training and guidance on AI capabilities
  • Support AI adoption strategy and global best practices

Requisitos principales

  • Bachelor’s degree in related disciplines to Insurance, Financial Services, Business Analytics
  • 10+ years of experience as Business Analyst, Insurance Operations or Data Analyst
  • Hands-on experience with AI enablement and LLMs or AI platforms
  • Structured business and data analysis skills with strong problem-solving
  • Open-minded, test-and-learn mindset
  • Excellent stakeholder engagement and communication
  • Proficiency in English and at least one additional language
  • stakeholder engagement
  • clear and proactive communication
  • collaboration across cross-functional teams
  • experience with LLMs or AI-driven platforms
  • data schemas design and maintenance
  • data quality and feature engineering
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