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# Data Analyst

- **Company:** HDI Global SE
- **Location:** Hannover, Germany
- **Salary:** €43,500.0 - €63,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Cloud Database, Computer Programming, Databases, Data Visualization, R (Programming Language), Python (Programming Language), Microsoft Office, Power BI, SQL Databases
- **Published:** September 25, 2026
- **Apply:** https://www.xing.com/jobs/hannover-data-analyst-158087291

## About the Role

* Degree (Bachelor's and Master's) in Mathematics, Data Science, Economics, Actuarial Science, or a related field
 * Several years of experience in the insurance industry, ideally within underwriting, actuarial, or portfolio steering of industrial casualty business
 * Proficiency in presentations & visualization tools, including Microsoft Office, SQL, and Power BI
 * Programming skills, preferably in Python, are required; experience with R Shiny is an advantage
 * Strong analytical and solution-oriented mindset, with a solid understanding of statistics and the ability to derive actionable insights from large and complex datasets
 * High level of ownership and initiative, combined with a proactive, consultative approach and strong stakeholder management skills
 * Strong team player with the ability to collaborate effectively in an international and cross-functional environment
 * Fluent in English; German language skills, or a willingness to learn German, are highly desirable

## Description

* Drive portfolio steering activities across the casualty lines in close collaboration with underwriting, pricing, reserving, claims, controlling, and other key stakeholder functions in the HDI Global SE segment
 * Develop new analytical and AI-assisted methods for portfolio steering purposes
 * Analyse large and complex datasets using Python, R, and/or SQL to identify growth opportunities, detect adverse trends, and derive actionable portfolio steering recommendations
 * Support underwriting and Technical & Strategic Services teams through portfolio deep dives, analytical use cases, and data-driven insights that enable informed decision-making
 * Develop reproductible analytical tools, models, and dashboards using Python, R, SQL and/or Power BI to increase transparency on portfolio performance, opportunities, and risks, and support lead underwriting strategies worldwide
 * Support the development of a SQL cloud database by integrating diverse data sources into a structured and scalable data environment
 * Contribute to cross-functional and strategic initiatives that advance portfolio steering capabilities


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