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# Data Analytics Manager - Casualty Reinsurance Pricing

- **Company:** Gallagher Re
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Governance, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Analytics, Data Management
- **Published:** September 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=729d3a6bec5489de

## About the Role

* Proven experience in data management, preferably within the insurance or financial services sector.
 * Proficiency in data analysis tools such as SQL, Python, R, or similar.
 * Experience with data visualisation tools like Power BI or Tableau.
 * Understanding of casualty insurance products.
 * Excellent problem-solving and critical-thinking skills.
 * Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
 * Knowledge of data governance frameworks and regulatory compliance (e.g., GDPR).
 * Must have right to work in the UK

## Description

* We are seeking to hire a Data Manager for our Actuarial team to manage our Casualty insights.
 * The successful candidate will play a pivotal role in managing, analysing, and interpreting data to support our casualty insurance data analytics operations.
 * This role requires a strong understanding of data management principles, excellent analytical skills, and the ability to collaborate with cross-functional teams to drive data-driven decision-making.

How you'll make an impact

 * Oversee the collection, organisation, and maintenance of casualty-related data.
 * Ensure data accuracy, consistency, and compliance with regulatory requirements.
 * Analyse casualty data to identify trends, risks, and opportunities.
 * Provide actionable insights to support underwriting, claims, and risk management strategies.
 * Create dashboards and reports to communicate findings to stakeholders
 * Work closely with actuaries, underwriters and brokers.
 * Support the development of predictive models and advanced analytics initiatives.
 * Identify opportunities to streamline data processes and improve efficiency.
 * Stay updated on industry trends and emerging technologies in data management.