Data Analyst

With over 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our industry-leading Corporate Risk & Broking (CRB) team, you’ll be part of this impact right from the start.

Our CRB business is one of the world’s largest insurance brokers and risk advisory firms. We help clients ranging from small businesses to multinationals to understand, assess, and manage their risks. Our experts collaborate around the world to provide our clients with a broader perspective, data-led insight and exceptional service. Focusing on the areas where data makes a real difference, you’ll help us continue to deliver to truly exceptional standards.

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Responsibilities:

This two-year graduate programme will see you building your knowledge and skills in areas all across our CRB business.  As a Data Analyst you would be responsible for assisting with a Global Specialities data strategy by understanding and analysing their current approach to data and analytics. Through this role and other work, you will gain a unique understanding of our industry and our client's needs. The role offers the opportunity to work directly within a line of business whilst also reporting to our central global data strategy division.  This is a unique and exciting opportunity for a candidate looking for a demanding data analysis role while building insurance knowledge.  Working with and learning from industry-leading colleagues, you’ll:

• Understand the organisation’s data and analytics strategy and apply this to day-to-day business challenges
• Gain a unique understanding of our industry and our clients’ needs
• Understand how data is structured, stored and connected across business systems and develop practical experience using analytical tools to support effective decision-making.
• Collect, cleanse and analyse data, presenting insights through clear reports, dashboards and visualisations using a range of data sources
• Build strong relationships with colleagues and clients across sectors, including cyber, financial institutions, marine and construction
• Grow every day, from a thorough induction to ongoing professional and personal development through bespoke learning journeys
• Be supported as you study towards the Level 6 Data Scientist apprenticeship qualification.
• Throughout the programme you will be supported by a dedicated early career development team

Responsibilities

This two-year graduate programme will see you building your knowledge and skills in areas all across our CRB business.  As a Data Analyst you would be responsible for assisting with a Global Specialities data strategy by understanding and analysing their current approach to data and analytics. Through this role and other work, you will gain a unique understanding of our industry and our client's needs. The role offers the opportunity to work directly within a line of business whilst also reporting to our central global data strategy division.  This is a unique and exciting opportunity for a candidate looking for a demanding data analysis role while building insurance knowledge.  Working with and learning from industry-leading colleagues, you’ll:

• Understand the organisation’s data and analytics strategy and apply this to day-to-day business challenges
• Gain a unique understanding of our industry and our clients’ needs
• Understand how data is structured, stored and connected across business systems and develop practical experience using analytical tools to support effective decision-making.
• Collect, cleanse and analyse data, presenting insights through clear reports, dashboards and visualisations using a range of data sources
• Build strong relationships with colleagues and clients across sectors, including cyber, financial institutions, marine and construction
• Grow every day, from a thorough induction to ongoing professional and personal development through bespoke learning journeys
• Be supported as you study towards the Level 6 Data Scientist apprenticeship qualification.
• Throughout the programme you will be supported by a dedicated early career development team.

Qualifications

Requirements

Our graduate programmes are journeys of learning, experience and support. To transform your tomorrow with WTW, you’ll need to be:

• A natural problem solver with a mathematical and analytical mind
• Able to work with and analyse data to draw meaningful conclusions
• A confident communicator who knows how to build relationships and clearly convey complicated information
• Curious and eager to build and apply your knowledge
• Comfortable working in a team
• At least 2:1 degree-qualified in any discipline

Closing Date: 19th October 2026

*** Please note that we do not accept multiple applications and you should only select and apply to one programme per year***

Workstyles:

We’re open to hybrid working for this role. This means blending working at home with at least four days in the office, learning from experienced colleagues and getting to know your fellow new joiners.

The Application Process:

Stage 1: Apply online and attach your CV

Stage 2: Complete an online test and a video interview

Stage 3: Attend a virtual assessment centre, where you’ll meet members of the team

Stage 4: Offer and onboarding

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com

We are committed to maintaining a fair and equitable process for all candidates – read our AI Guidance.