Data Analyst

Allianz; Croydon; On-site; GBP 55,000 - 75,000; Full time

Job summary

Allianz Partners seeks a Data Analyst within the Underwriting Technical Transformation team of Health Insurance. You will help shape a centralized data analytics function, build robust data pipelines, and deliver insights for underwriting and pricing.

You will collaborate with Data Science, Data Program and Pricing teams to create dashboards (Power BI), drive data governance, and support AI readiness while ensuring governance and secure data practices across the business.

Qualifications

• Minimum 3 years of data analysis experience, preferably in insurance or healthcare.
• Proficient in Python with maintainable, testable code.
• Strong SQL skills and data visualization using Power BI.
• Experience with ETL, data pipelines, and data governance would help.

Responsibilities

• Support building a clear data environment roadmap for commercial and strategic success.
• Design, build and maintain production-grade data pipelines (ETL).
• Collaborate with Data Science and Data Program teams to deliver dashboards and reports.
• Translate business requirements into data solutions and KPIs for leadership.
• Coordinate data projects and manage stakeholders and risk.
• Prepare data outputs for senior management presentations.

Skills

Python

SQL

CI/CD

Data visualization

Education

Bachelor's degree in Mathematics or Computer Science

Tools

Power BI

Git

VBA

Job description

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 ReadinessWork 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.

What you will need

• Bachelor or above in a quantitative discipline (e.g. Mathematics, Computer Science) from top tier university
• Proven relevant experience (min. 3 years) in data analysis, preferably within the insurance or healthcare sector.
• Hands-on experience in writing maintainable and testable production-grade Python in a collaborative approach
• Strong proficiency with direct exposure to SQL/ SQL optimization, Git version control, CI/CD practices as well as data visualization tools (e.g. Power BI). VBA would be useful
• Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts) with the ability to translate complex data into actionable insights.
• Works with little guidance and direction and performs majority of tasks independently.
• High attention to detail including a commitment to accuracy of work.
• Excellent communication and collaboration skills, with the ability to explain complicated processes and concepts to non-experts and to work effectively with diverse cross-functional stakeholders.
• A proactive mindset with a passion for driving change and innovation through data.

Why join us

This is more than just a data analytics role – it’s an opportunity to make a tangible impact on the future of health insurance underwriting. You’ll be part of a team that values creativity, collaboration, and continuous improvement, all while working in a fast-paced and evolving industry.

If you’re ready to take on a challenging and rewarding role where your expertise in data analytics can truly make a difference, we’d love to hear from you!

How We Hire

Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.