Senior Data Analyst Life

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.

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

View Home - PartnerRe Experience e-book to find out more about what it's like to work at PartnerRe.

We are always looking for bright, proactive individuals to join our team

Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

PartnerRe is an equal opportunities employer.

Please join our company LinkedIn Page for all updates on new positions that are coming live.

Job Description

About this job:

We are seeking a Senior Data Analyst to lead and optimize our data operations processes. This role is responsible for overseeing data quality reviews, driving process improvements, and managing a team of analysts. Based in Dublin, the position is part of the EMELA Life Operations team, reporting to the Data Infrastructure Team Lead – Life & Health, EMELA.

The Data Management team is responsible for processing, monitoring, and analysing bordereaux data received from our cedants. The successful candidate will be working closely with various business users on activities revolving data including transforming and processing data in our tools. This data supports multiple functions across the organisation and is critical for various financial, actuarial studies and reporting.

About The Role

• Overseeing data operations processes, including task allocation and monitoring workloads to ensure that deadlines are met.
• Develop and maintaining comprehensive documentation for data procedures and best practices.
• Serve as the main point of contact for stakeholders regarding data operational issues, escalating technical matters as necessary.
• Developing, monitoring and reporting key performance indicators (KPIs) related to data quality and team productivity.
• Fostering a high-performance culture centred on collaboration, accountability, and continuous improvement
• Building and maintaining good relationship with various stakeholders to ensure shared understanding of the team's deliverables and promoting effective working relationship.
• Supporting stakeholders with data related queries or issues
• Participating in projects or other ad hoc duties as assigned
  
  

Qualifications

About you:

• 5+ years of experience in data analysis, data operations or data management.
• Experience in insurance or reinsurance industry is a strong plus.
• A bachelor's or master's degree in Data science, Information Systems, Business Analytics, or a related field.
• Fluent in English (verbal and written); knowledge of another language is a plus.
• Experience in leading or managing a team.
• A strong understanding of data structures and data processing workflows (coding expertise is not required).
• Experience working with data management tools and ETL processes (e.g. SQL, Power BI, Excel).
• Proven ability to analyse, interpret, and validate large data sets from multiple sources.
• A solid understanding of data lifecycle management and best practices in data processing pipelines.
  
  

Additional Information

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

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionFinance
• IndustriesInsurance

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