Data Analyst

September 25, 2026

Hybrid

Middle

London, United Kingdom

Worth knowing

English is required

Description

A leading global insurance broker is building out its growing analytics function and hiring an experienced Data Analyst into a highly technical and commercially focused role. The analyst turns complex insurance datasets into meaningful insight across data analytics, Python engineering, automation, data quality and visualisation. The position sits within a specialist analytics team that partners closely with brokers and stakeholders to support client and placement decisions.

Responsibilities

Analyse large and complex insurance datasets, providing insight across claims experience, loss ratios, exposure, portfolio performance and market trends
Work closely with brokers and stakeholders to provide data driven insight supporting client and placement decisions
Design, build and optimise Python data pipelines to ingest, cleanse, transform and standardise data from multiple sources
Use Python, Pandas, SQL and modern development practices to create efficient, repeatable and auditable analytical processes
Develop automated data quality checks, controls and validation processes to improve the accuracy and reliability of data
Support the development of centralised exposure, claims and portfolio databases, including relational database and schema design
Build analytical tools, dashboards and benchmarking datasets to compare portfolios across clients, classes of business and different time periods
Identify opportunities to automate manual processes and improve the efficiency of existing analytics workflows
Produce clear and engaging visualisations and reporting using Power BI, Excel and Power Query
Explore emerging technologies across Data, Analytics, Automation and AI and how they can be applied within insurance broking

Requirements

3+ years experience within a Data Analyst, Senior Data Analyst or similar analytics role
Previous experience within Insurance, Reinsurance, Insurance Broking or the London Market
Strong Python skills, particularly Pandas, data cleansing, transformation and automation
SQL skills with experience working with relational databases and data models
Experience working with large, complex and inconsistently structured datasets
Experience building or maintaining data pipelines and automated analytical processes
Strong understanding of data quality, validation and controls
Experience with Git, GitHub and collaborative development practices
Understanding of insurance datasets such as claims, exposure, loss, premium and portfolio data
Exposure to reinsurance and casualty insurance is advantageous
Strong communication skills to translate technical analysis into clear commercial insight for non technical stakeholders
Understanding of data governance and regulatory requirements, including GDPR

Conditions

Hybrid working format based in London

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