Data Analyst

Locations- Dublin, London (Bishopsgate), Munich

About the role

We are seeking a highly skilled and motivated Data Analyst to join our dynamic Underwriting Technical Transformation team within the Health Insurance Line of business. This role offers a unique opportunity to be at the forefront of driving innovation and data-driven decision-making in underwriting and pricing.

As a Data Analyst, you will play a pivotal role in shaping our centralized data analytics function, which supports technical areas such as underwriting, pricing, and commercial. You will work collaboratively with cross-functional teams, including Data Science, Data Program, Portfolio Monitoring, Pricing and Underwriting, to design, build and implement robust data pipelines in order to deliver actionable insights that enhance business performance and customer outcomes.

What you will do

• Support and participate in the build and delivery of a clear roadmap for the creation and modernization of a robust data environment aimed at ensuring commercial and strategic success for the business
• Technically support the design, construction and maintenance of data for the business
• Understand and implement database and data engineering concepts and terminology, design principles and elements in order to deliver data and analytics
• Build and maintain production-grade data pipelines in order to automate data extraction, transformation, and loading (ETL) processes
• Coordination of data projects with different levels of complexity depending on existing methods, processes and tools
• Collaborate and engage with Data Program and Data Science teams to support the creation, maintenance and enhancement of reports, tools, datasets and dashboards to facilitate analysis and ongoing review of KPIs, e.g. leveraging Power BI
• Understand the data relationships that exist between the business processes and systems. In turn apply this knowledge when interpreting the information requirements from the business
• Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization in pricing & underwriting processes.
• Deliver data outputs into a format for presentation to senior management
• Gather, interpret, identify gaps and translate business MI and reporting requirements into solutions
• Manages and coordinates stakeholders and builds a robust communication structure for data-related projects
• Advises stakeholders and actively clarifies their expectations and requirements
• Ability to assume responsibility for change, communication, quality and risk management
• AI Readiness  Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.