Data Analyst

hyperiongrp; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

Howden is hiring an entrepreneurial, AI-enabled Data Analyst to redefine how data drives insurance brokerage. You will own domain roadmaps, collaborate with business leaders, and develop data models, semantic definitions, and consumption interfaces that deliver measurable commercial outcomes.

You will lead analytical product lifecycles, partner with engineering and governance, and build forecasting, segmentation, and scenario analysis tools to support strategic decisions.

Qualifications

• Entrepreneurial, AI-enabled Data Analysts to redefine what it means to be a data-driven insurance brokerage.
• Ability to build data models, semantic definitions, and consumption interfaces that drive commercial outcomes.
• Work with stakeholders to own domain roadmaps and interactively develop analytics products.

Responsibilities

• Operate as a trusted business partner who understands processes, decisions, pain points, outcomes, and priorities.
• Identify and recommend data and analytics solutions that create measurable business value.
• Translate questions into data visualizations, calculations, and consumption-ready data models.
• Use AI capabilities to accelerate data exploration, documentation, SQL development, calculations, visualization, testing, and prototyping.
• Create dashboard and data-product mockups in live sessions for feedback and alignment.
• Partner with engineering and governance to build end-to-end data products with clear metric definitions and data-quality rules.
• Build forecasting, segmentation, and scenario analysis tools for decision-making.
• Profile, validate, and reconcile data against sources and definitions; resolve discrepancies.
• Own the analytics product lifecycle from prototype to release and adoption.

Skills

Data analytics

SQL development

Data visualization

Stakeholder collaboration

AI capabilities

Tools

BI tools

Job description

Who are we?

Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It's what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities - work / life balance, career progression, sustainability, volunteering - you'll find like-minded people driving change at Howden.

Position: Data Analytics

Status: Full Time (Hybrid)

Salary Range: $100,000 - $130,000

About the Job

Why Join Howden US?

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.

Why Howden?

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 trulyown.

You’llBeEmpowered

We’re a destinationfor talent where people are trusted to look aftertheir clients and grow together. You’ll have the freedomtolead, backedby global scale and local expertise.

You’llBePartOfSomethingBigger

Ourintegratedplatformspansbroking, reinsurance, and MGA capabilities-givingyouaccesstoeverythingyouneedtodeliverforclientsandbuildsomethingremarkable..

We have always...s are 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.

What is the role?

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 willbea 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.

What will you be doing?

Key Responsibilities

• 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 analysis tools that support decision-making.
• Profile, validate, and reconcile data against source systems, business expectations, and defined quality rules; investigate and resolve discrepancies.
• Own the analytics product lifecycle: understand, prototype, demonstrate, gather feedback, refine, validate, release, and measure adoption.