WTW

data analyst for insurance risk

In short

Entry-level, two-year graduate programme at WTW's Corporate Risk & Broking business, a major global insurance broker and risk advisory firm. The role involves collecting, cleansing and analysing data, building reports and dashboards, and supporting clients across sectors like cyber, financial institutions, marine and construction. Candidates need a 2:1 degree in any discipline, strong analytical and communication skills, and will study towards a Level 6 Data Scientist apprenticeship. Work is hybrid, with at least four days per week in the London office.

About WTW
WTW helps organisations make forward-thinking choices about their people, investments, and risks. Its Corporate Risk & Broking business is one of the world's largest insurance brokers and risk advisory firms, helping clients understand, assess, and manage risks through data-led insight and advisory services.
Responsibilities
•Understand the organisation's data and analytics strategy and apply it to day-to-day business challenges
•Gain an understanding of the industry and clients' needs
•Understand how data is structured, stored, and connected across business systems, and use analytical tools to support effective decision-making
•Collect, cleanse, and analyse data, presenting insights through reports, dashboards, and visualisations using a range of data sources
•Build relationships with colleagues and clients across cyber, financial institutions, marine, and construction sectors
•Develop professionally and personally through induction and bespoke learning journeys
•Study towards the Level 6 Data Scientist apprenticeship qualification
Requirements
•Be a natural problem solver with a mathematical and analytical mind
•Be able to analyse data and draw meaningful conclusions
•Communicate confidently, build relationships, and clearly convey complex information
•Be curious and eager to build and apply knowledge
•Be comfortable working in a team
•Hold at least a 2:1 degree in any discipline
•Apply to only one programme per year; multiple applications are not accepted
Conditions
•Two-year graduate programme
•Hybrid working includes at least four days in the office
•Supported by a dedicated early career development team
•Closing date: 9th October 2026

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