Data Analyst

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.

• 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 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.

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.

• undefined
• undefinedKey Skills & CompetenciesStrong collaboration skills and the ability to connect priorities to practical data and analytics solutions.
• Comfort operating with ambiguity and limited precedent; ability to identify ambiguous business problems, structure them analytically, and translate them into actionable data products.
• Strong analytical and commercial judgment, with the ability to evaluate trade-offs and make evidence-based recommendations.
• Proficiency with BI tools, data visualization, and SQL, with knowledge of dimensional modeling and medallion architecture.

• Experience using AI-assisted capabilities responsibly to accelerate analysis, development, documentation, testing, or prototyping.

• Excellent visualization, storytelling, and communication skills across technical and non-technical audiences, including senior leadership.

• Experience with predictive modeling is a plus
• Python or R experience is a plus

• Bachelor's degree in Analytics, Data Science, Information Systems, Business, Finance, Economics, Statistics, or a related field, or equivalent professional experience.

• 3+ years of experience in data analysis, business intelligence, analytics product development, or related discipline.

• Demonstrated experience translating business needs into dashboards, analytical products, metrics, or decision-support solutions.

• Hands-on experience with SQL and a modern data visualization platform such as Power BI.

• Experience working across business and technical teams, including business leaders, subject-matter experts, data engineers, architects, and governance partners.

• Demonstrated experience taking an analytics solution from problem definition through prototyping, validation, release, adoption, and ongoing improvement.

• Experience with cloud data platforms, Python, Databricks, or AI-enabled analytics and development tools is preferred.

• Insurance brokerage, financial services, or other data-intensive industry experience is preferred.

• Experience standing up new analytics capabilities or reporting functions from scratch is preferred.

At Howden we value diversity - there is no one Howden ‘personality type’. Instead, we’re looking for individuals who share the same values as us:

• Our successes have all come from someone brave enough to try something new
• We support each other, in the small everyday moments and the bigger challenges
• We are determined to make a positive difference, at work and beyond

We consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness, and respect – regardless of age, disability, race, religion or belief, gender, sexual orientation, marital status, or family circumstances.

We’re on a life-long journey to become an ever-more sustainable group. It's a commitment to taking care of our people and the world we live in, to doing good business, and to making a positive impact wherever we can. Our governance processes, company policies, and review systems are all geared towards our goal of making a positive impact on the world. You can read more about our sustainability work here.

Compensation and Benefits
 The expected base salary range for this role is $100,000 - $130,000; actual base salary will be determined based on factors including candidate experience and work location. This role is classified as exempt under the Fair Labor Standards Act (FLSA).

In addition to a competitive base salary, employees are eligible to receive a discretionary bonus. Howden also offers a variety of benefits and programs, subject to eligibility, including:

Medical, dental, and vision insurance, including healthcare savings and reimbursement accounts

• 401(k) retirement plan
• Flexible Paid Time Off and paid parental leave
• Life and Disability insurance
  

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs.  Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.