Senior Data Insurance Analyst

Stott and May; City Of London; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

A leading data analytics firm in London is seeking a Senior Data Insurance Analyst. In this role, you'll analyze large datasets to provide strategic insights that improve underwriting accuracy and efficiency. Strong analytical skills and experience with Lloyd’s Syndicate specialty insurance data are essential. The ideal candidate should be proficient in Azure Databricks. This position offers a hybrid working model and a salary ranging from £85K to £100K.

Qualifications

• Strong analytical expertise and experience working with insurance datasets.
• Hands-on knowledge of Azure Databricks and modern data platforms.
• Experience with Lloyd’s Syndicate speciality insurance data is highly desirable.

Responsibilities

• Translate business requirements into scalable data solutions.
• Source, analyse, and validate enterprise data for reporting.
• Define transformation and normalisation logic.

Skills

Analytical expertise

Hands-on knowledge of Azure Databricks

Experience with Lloyd’s Syndicate speciality insurance data

Excellent communication skills

Collaborative mindset

Tools

Azure Databricks

Job description

Senior Data Insurance Analyst – Location: Hybrid (London-based with flexible working). Salary: £85K - £100K – this is dependent on skills and experience.

As a Senior Data Insurance Analyst, you’ll work with cross-functional teams—underwriting, claims, finance, and product—to analyse large datasets, spot trends, and provide recommendations that influence key decisions.

You’ll design data models, perform predictive and trend analyses, and ensure data quality across multiple sources. Acting as a trusted adviser, you’ll guide senior stakeholders, mentor junior analysts, and help shape innovative solutions that enhance underwriting accuracy, claims efficiency, and customer experience.

Key Responsibilities

• Translate business requirements into scalable data solutions with SMEs and senior data engineers.
• Source, analyse, and validate enterprise data for reporting, analytics, and applications.
• Define transformation and normalisation logic for source, medallion, and model layers.
• Partner with data engineers to design and optimise data models for analytics and business consumption.
• Support backlog prioritisation in collaboration with Product Owner and Lead Data Engineer.
• Apply experience with Lloyd’s Syndicate speciality insurance data and Azure Databricks to accelerate migrations and analytics.

What You’ll Bring

• Strong analytical expertise and experience working with insurance datasets.
• Hands-on knowledge of Azure Databricks and modern data platforms.
• Experience with Lloyd’s Syndicate speciality insurance data is highly desirable.
• Excellent communication skills and a collaborative mindset.

If you’re passionate about transforming data into strategic insights and want to make a tangible impact in the insurance sector, this role is perfect for you.