Data Analyst

At Howden, we’re not just building a business
- We’re rewriting the rules of what a global insurance broker can be. And now, it’s your turn to be part of something extraordinary. From three people and a dog to over 22,000 employees across 56 countries, we’ve grown into a $4bn revenue powerhouse with bold ambition: to become a $13bn business with 40,000 people by 2030.

We’re launching our US retail platform with the same entrepreneurial spirit that’s driven our success worldwide-and we’re looking for trailblazers to help shape the future.

• You’ll Own It
• With 6,000 employee shareholders owning 34% of the company
  , our unique ownership model means you’re not just joining a team-you’re building a business you truly own.
• You’ll Be Empowered
• We’re a destination for talent where people are trusted to look after their clients and grow together. You’ll have the freedom to lead, backed by global scale and local expertise.
• You’ll Be Part of Something Bigger
• Our integrated platform spans broking, reinsurance, and MGA capabilities-giving you access to everything you need to deliver for clients and build something remarkable

We have always been employee-owned and driven by entrepreneurial spirit. Right from the beginning, we’ve focused on employing talented individuals and empowering them to make a real difference to the company, whilst building successful and fulfilling careers at the same time. Simply put, we hire talented specialists and give them what they need to make a difference for clients. Always have, always will.

We are seeking entrepreneurial, AI-enabled Data Analysts to redefine what it means to be a data-driven insurance brokerage. As a strategic partner to business leaders, your work won’t be limited to delivering dashboards. You will be a trusted partner to the leaders in your business domain and develop a deep understanding of strategic priorities, proactively building the data models, semantic definitions, and consumption interfaces that drive commercial outcomes.

You will own the domain roadmap and build interactively with stakeholders, acting as business analyst, project manager, analytics engineer, or BI developer as the need arises.

The ideal candidate combines business curiosity, analytical judgment, technical fluency, data interrogation skills, and a builder’s mindset. You are comfortable working interactively with stakeholders. You may not be an expert in dimensional modeling, data engineering, data visualization, project management, and context engineering, but you are confident that you can learn what you don’t already know.

• Operate as an embedded, trusted business partner who understands business processes, decisions, pain points, desired outcomes, and priorities.
• Proactively identify and recommend data and analytics solutions that create measurable business value rather than waiting for formal requests.
• Work iteratively to translate business questions and stakeholder conversations into data visualizations, creative calculations, consumption-ready data models, and acceptance criteria.
• Use AI capabilities to accelerate data exploration, requirements documentation, SQL development, calculations, visualization, testing, and prototyping.
• Create dashboard and data-product mockups in live working sessions for immediate feedback and faster alignment.
• Partner with engineering and governance colleagues to build end-to-end data products as ideas move from exploration to industrialization, capturing metric definitions, calculation logic, lineage, ownership, assumptions, and data-quality rules as part of product delivery-establishing standards for functions still taking shape.
• Build forecasting, segmentation, and scenario…