Data Analyst

About the Role

Join the Underwriting Technical Transformation team within the Health Insurance Line of Business as a Data Analyst, where you will contribute significantly to pioneering innovative, data-driven practices in underwriting and pricing. This role involves collaborating across multiple functions, including Data Science, Data Program, Portfolio Monitoring, Pricing, and Underwriting, to create reliable data pipelines that provide actionable insights and improve both business outcomes and customer experiences.

Key Responsibilities

• Assist in developing and executing a clear roadmap aimed at constructing and modernizing a comprehensive data environment that drives commercial and strategic objectives
• Provide technical expertise in designing, developing, and maintaining the company's data assets
• Apply database and data engineering concepts, adhering to design principles to deliver accurate data and analytic solutions
• Build and maintain automated production-level data pipelines for ETL (extract, transform, load) processes
• Manage data projects of varying complexities using established methodologies and tools
• Work collaboratively with Data Program and Data Science teams to create, update, and improve reports, tools, datasets, and dashboards, including those built using Power BI, to monitor KPIs
• Analyze and understand data relationships within business processes and systems to accurately interpret business informational needs
• Conduct detailed data analyses to detect patterns, trends, and optimization possibilities in pricing and underwriting workflows
• Prepare and deliver data-driven presentations and outputs suitable for senior management review
• Collect and clarify management information and reporting requirements, identifying gaps and translating these into effective data solutions
• Lead stakeholder engagement by establishing strong communication frameworks for data projects
• Provide advisory support to stakeholders to clarify expectations and requirements
• Take ownership of change, communication, quality assurance, and risk management activities
• Adapt to working environments shaped by AI, machine learning, analytics, and cloud technologies while ensuring compliance with data governance, security, and ethical standards

Requirements

• A minimum of three years' proven experience in data analysis, ideally within insurance or healthcare sectors
• Hands-on programming experience writing maintainable, testable, production-grade Python code collaboratively
• Advanced skills in SQL including query optimization, proficiency with Git version control, continuous integration/deployment (CI/CD), and data visualization tools such as Power BI; VBA knowledge is advantageous
• Bachelor’s degree or higher in quantitative disciplines like Mathematics or Computer Science from a reputable university
• Strong analytical capabilities to comprehend complex data structures and convert them into meaningful insights
• Ability to operate independently with minimal supervision, taking accountability for most tasks
• Exceptional attention to detail ensuring precision and accuracy in work outputs
• Excellent communication and interpersonal skills to elucidate complex concepts to non-technical stakeholders and collaborate effectively across teams
• A proactive attitude with enthusiasm for leveraging data to drive innovation and change

Why Join Us

This role transcends the typical data analyst position, offering the chance to impact the future of health insurance underwriting significantly. You will collaborate with a team that prizes creativity, cooperation, and ongoing improvement, in a fast-moving and continually evolving industry.

If you are eager to embrace a demanding yet rewarding career where your data analytics skills can make a substantive difference, we welcome your interest.

Additional Information

Recruitment is managed directly by the company. Unsolicited applications or contacts from agencies will not be considered. Only candidates from approved partners will be entertained.

Locations: Dublin, London (Bishopsgate), Munich