Data Analyst, Life & Health

Company Description

PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

Shape your own career

Grow in a supportive environment

Connect with a community of experts

Make an impact

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About this job:

We are seeking a highly motivated Data Analyst to join our Life & Health Operations and Administration team in Dublin. Reporting to the Data Management Team Lead – Life & Health, EMELA, you will play a key role in managing and analysing data that supports critical business processes across the Life & Health reinsurance portfolio.

Role Summary:

In this role, you will manage the end-to-end data lifecycle for the Life & Health Reinsurance portfolio, ensuring the integrity, quality, and availability of data that underpins critical underwriting, actuarial, finance, and portfolio management activities. Working closely with cedants and cross-functional stakeholders, you will help deliver trusted data that supports sound business decisions, regulatory compliance, and operational excellence while driving continuous improvements in data quality and governance.

Key Responsibilities:

• Ensuring data quality by validating that data received from cedants is complete, accurate, consistent and compliant with treaty terms.

• Extract, transform and load (ETL) data into our internal tools; while investigating, escalating and resolving any data issues with cedants.

• Support onboarding and implementation of new treaties by defining, reviewing, and validating data requirements with Underwriting, Operations, and cedants.

• Perform detailed data analysis, quality checks, and reconciliations against treaty conditions and Statement of Account (SoA).

• Support quarterly closing activities and ensuring compliance with ICFR and internal control standards.

• Investigate data quality issues, perform root cause analysis, and recommend sustainable solutions to improve data quality over time.

• Collaborate with cross-functional stakeholders to ensure data is available, accurate and fit for purpose.

• Monitor client accounts and producing summary reports highlighting trends, exceptions and key issues.

• Contribute to the continuous improvement of data management processes, controls and standards.

• Participate in projects and ad hoc tasks as required.

Work Experience, Skills & Competencies:

• 2-5 years of experience in data analytics, technical accounting within the Insurance or Reinsurance industry (Life & Health experience is a strong plus).

• A Bachelor’s degree in Accounting, Data Analytics, Computer Science or a related field.

• Understanding of data governance principles and metadata management.

• Experience querying and manipulating large datasets using SQL.

• Exposure to scripting languages such as R or Python would be advantageous.

• Experience developing reports and dashboards in Power BI.

• Strong analytical and problem-solving skills, with experience in data validation, reconciliation, trend analysis and deriving actionable insights.

• Strong communication and interpersonal skills, with the ability to engage across multiple levels of the organisation.

• Ability to work independently while also contributing effectively as part of a team.

• Fluency in English; additional languages are an advantage.

Additional Information

#LI-Hybrid:

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe.

Thank you,

PartnerRe Hiring Team