Reads like a Data Engineer role: pipelines and data infrastructure.
Croydon, England, United Kingdom
Live, first seen by us 39 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
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.
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.
Build and maintain production-grade data pipelines to automate ETL
Create and maintain reports, datasets and dashboards, e.g. in Power BI
Analyse data to find trends and optimisation opportunities in pricing and underwriting
Translate business reporting requirements into data solutions
Prepare data outputs for presentation to senior management
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.
Build and maintain production-grade data pipelines in order to automate data extraction, transformation, and loading (ETL) processes
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
Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization in pricing & underwriting processes.
translate business MI and reporting requirements into solutions
Deliver data outputs into a format for presentation to senior management
Bachelor or above in a quantitative discipline (e.g. Mathematics, Computer Science) from top tier university
106424 | Actuarial | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
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 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.
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Day 39
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Well past Allianz Insurance’s usual: its jobs come down by about day 3.
From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
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- 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
- 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.
- 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
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Yes. We’ve followed one other Data Analyst job there since June 2026. It came down after 1 day.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
What you will need
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.
106424 | Actuarial | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
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Croydon, England, United Kingdom
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