Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Broking Insights – Senior Data Analyst

Aon
City of London
1 week ago
Create job alert
Broking Insights – Senior Data Analyst

Become part of a growing analytics team that drives advanced data‑driven decision making at the heart of Lloyd’s insurance market. We seek a highly skilled Senior Data Analyst who combines commercial acumen, deep insurance expertise, and analytical capabilities to deliver actionable insights and optimise decision‑making across the organisation.


Based at our flagship London office, this role offers hybrid working.


Aon is in the business of better decisions


At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. We unite through trust as an inclusive team and are passionate about helping colleagues and clients succeed.


What the Day Will Look Like

  • Power BI Development: Build scalable data models, optimise performance, and standardise reporting frameworks.
  • Collaborate with brokers, operations, and carriers to assess analytics requirements and translate business needs into actionable insights.
  • Leverage Lloyd’s market knowledge to inform analytics solutions and reporting.
  • Utilise deep insurance knowledge to deliver innovative insights.
  • Embed data governance standards and practices to improve data quality.
  • Coordinate with analytics capabilities across departments to deliver business‑centric solutions.
  • Engage in strategic data transformation projects and provide technical guidance.
  • Develop ETL processes using SQL and Python.
  • Implement Power Automate and Power Apps for workflow automation.
  • Explore AI & emerging technologies to expand analytical capabilities.

How This Opportunity Is Different

This rare opportunity allows you to utilise your data, reporting and technical skills in a corporate/commercial setting. You will join a welcoming, collaborative and supportive team highly valued across the firm, with a positive impact on London Market broking teams. Aon supports internal mobility and provides a foundation for a rewarding career.


Skills And Experience That Will Lead To Success

  • Mandatory: SQL, Power BI – advanced modelling, optimisation and governance.
  • Power Automate / Power Apps – workflow and app development.
  • Excellent communication and data storytelling.
  • Strong stakeholder management and influencing skills.
  • High commercial awareness and strategic thinking.
  • Collaborative and adaptable in a fast‑paced environment.
  • Proven experience in insurance analytics within the Lloyd’s or London Market.
  • Expertise in standardising reporting practices and scalable BI solutions.
  • Experience with Microsoft Co‑Pilot Studio or similar agentic AI tooling.
  • Familiarity with regulatory compliance and data governance practices.
  • Understanding of underwriting principles and performance analytics.

How We Support Our Colleagues

In addition to our comprehensive benefits package, we encourage an inclusive workforce. Our agile environment allows you to manage wellbeing and work/life balance, and all colleagues enjoy two “Global Wellbeing Days” each year.


We promote continuous learning and provide opportunities to learn, share and grow, helping you reach your fullest potential.


Aon values an innovative and inclusive workplace where colleagues feel empowered to be their authentic selves. We are proud to be an equal opportunity workplace.


Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or any other legally protected status.


We welcome applications from all, and we provide individuals with disabilities reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email .


#J-18808-Ljbffr

Related Jobs

View all jobs

Broking Insights - Senior Data Analyst

Broking Insights - Senior Data Analyst

Senior Data Analyst, Broking Insights & Power BI

Data Analyst

Data Engineer - Reinsurance Data & Insights

Data Engineer - Reinsurance Data & Insights

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.