Analytics Engineer - Insurance

Please only apply if you have experience within the insurance sector, ideally in Underwriting or Actuarial.

London, UK | Up to £65,000

A leading organisation is seeking an Analytics Engineer to join their growing analytics function. This role sits within a specialist team that blends technical expertise in modelling, statistical analysis, and data-driven risk solutions to support a high-impact business unit. Working closely with senior stakeholders, you will play a key role in ensuring data flows seamlessly through the organisation and that decision-makers have the insights they need in a fast-moving market.

The Role

As an Analytics Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and data models. Your work will directly support business-critical functions and provide insight into some of the most complex challenges faced by the company.

• Developing and maintaining scalable data pipelines to transform large datasets for analytics and reporting.
• Troubleshooting and resolving issues in underlying data systems and models.
• Documenting and sharing knowledge to ensure analytics assets are accessible and well-governed.
• Working with stakeholders to identify key analytical problems and provide innovative, data-led solutions.
• Partnering with teams across the business - including Analysts, Engineers, and Subject Matter Experts - to conduct analysis and deliver actionable insights.
• Presenting data-driven findings through clear visualisations and written or verbal communication.

About You

To succeed in this role, you will bring a mix of technical expertise, problem-solving ability, and commercial acumen.

• Degree in Statistics, Computer Science, Mathematics, or a related field (or equivalent experience).
• Strong programming and data manipulation skills (SQL, Python).
• Familiarity with cloud platforms, ideally Azure.
• Experience with version control tools (eg GitHub).
• Ability to develop clear and engaging data visualisations (experience with Power BI is a plus).
• Background in building ETL pipelines and scheduling workflows.
• Confident operating with autonomy and proactively driving projects forward.