Data Analyst, Underwriting & Health Analytics

Allianz; England; On-site; GBP 42,000 - 62,000; Full time

Job summary

Allianz is seeking a data analyst to drive underwriting analytics and pricing decisions within the Health Insurance line. You will contribute to a centralized data analytics function, collaborating with Data Science, Data Program, pricing, and underwriting teams to build robust data pipelines and deliver actionable insights that improve business performance.

You will support the design and maintenance of data for the business, implement ETL processes, and help translate reporting requirements

Qualifications

• Bachelor or above in a quantitative discipline from a top-tier university.
• Min. 3 years of experience in data analysis, preferably in insurance or healthcare.
• Hands-on production-grade Python coding experience.
• Strong SQL and data visualization skills (Power BI).
• Excellent analytical and communication skills with the ability to translate data into insights.

Responsibilities

• Support and participate in building a roadmap for creating and modernizing a robust data environment.
• Design, construct and maintain data for the business.
• Build and maintain production-grade data pipelines (ETL).
• Collaborate with Data Program and Data Science to develop reports, datasets and dashboards (Power BI).
• Interpret business MI and translate requirements into data solutions.
• Coordinate data projects and manage stakeholders across teams.
• Communicate findings to senior management and drive data-driven decisions.

Skills

Python

SQL

Data visualization

Data analysis

Git

CI/CD

Communication

Education

Bachelor’s degree or higher in Mathematics, Computer Science or equivalent

Tools

Power BI

Git

CI/CD

VBA

Job description

Allianz is seeking a data analyst to drive underwriting analytics and pricing decisions within the Health Insurance line. You will contribute to a centralized data analytics function, collaborating with Data Science, Data Program, pricing, and underwriting teams to build robust data pipelines and deliver actionable insights that improve business performance.

You will support the design and maintenance of data for the business, implement ETL processes, and help translate reporting requirements