Data Analyst – Insurance Claims Analytics | London, UK | Flexible

JJA - James Joseph Associates • London, England, GB • £40,000 - £50,000 / * • 4m ago

Our client, a well-established and actively expanding Lloyd's Syndicated Insurance firm, is seeking a bright and ambitious Data Analyst to work closely with multiple differing business teams from a Data Analytics perspective. Previous Insurance Industry experience is NOT required. This is a fantastic opportunity to join a an actively expanding blue chip Insurance firm that is poised for further growth and can offer genuine career progression as consequence. The organsiation has invested significantly in a cutting edge tech stack (Which sets it apart from most Insurance firms) and is leveraging the latest data science and machine learning techniques.

As discussed above previous Insurance industry experience is NOT required (Albeit beneficial). What is essential is that you have demonstrable experience of interacting with senior business stakeholders to elicit their needs/requirements from a data visualisation perspective and the ability to extract/manipulate SQL data and present it in a Business Intelligence Dashboards (e.g. Power BI, Tableau etc.)

Ideally, you will have a numerical and/or computer science related background & an interest in data science (The firm utilises cutting edge data science techniques) Furthermore, you will have the desire to build a career where you interact regularly with business users and assist them by presenting data in a meaningful way.

THE ROLE:

This role plays a key part in supporting the organisation’s strategic goals by harnessing data to improve operational efficiency, enhance service quality, and contribute to profitability. By turning internal and external data into actionable insights, the position helps shape business decisions and support meaningful change across various functions.

You'll be at the heart of the team’s data capabilities, working with diverse data sources to uncover insights and trends that inform claims performance and wider business activity. This will involve developing regular reporting dashboards and datasets to support in-depth analysis and decision-making. Your duties will include…
• Collecting and preparing data from various systems to create robust, analysis-ready datasets. • Creating impactful data narratives that connect the dots and explain performance shifts in a clear and actionable way. • Defining the requirements for additional data sources to help answer critical operational and strategic questions. • Taking a proactive approach to monitoring trends in claims data—investigating anomalies, identifying root causes, and clearly communicating your findings to key stakeholders.

The successful applicant will demonstrate the ability to turn complexity into clarity—someone who can use data to tell compelling stories and drive action. You’ll collaborate closely with teams across Claims, Underwriting, Pricing, and IT, so strong communication skills and the ability to manage your own work and relationships are essential.

RESPONSIBILITIES:
• Take the lead in shaping data-driven strategies and uncovering actionable insights within claims operations. You’ll play a key role in building and refining shared data resources that help the business quickly identify and act on trends in claims activity. • Manage the full lifecycle of key monthly Claims MI reports — from data gathering and analysis to clear, stakeholder-focused communication. You'll provide meaningful interpretations of complex data and ensure insights are both impactful and easy to act upon. • Collaboration will be essential, particularly with the BI and MI teams. You’ll work closely with them to embed best practices and contribute to a long-term vision for how we harness data across our claims function.

SKILLS / EXPERIENCE REQUIRED:
• Highly numerate, demonstrating precision and a sharp eye for detail. • Confident in working with data to explore and resolve business challenges, including gathering, shaping, and presenting insights through dashboards. • Skilled in data analysis tools such as Excel, with familiarity in programming-based methods like SQL or Python. • Able to communicate findings clearly and effectively, both in writing and when speaking with stakeholders. • Excellent at building productive and professional relationships across teams. • Works well in collaborative environments, helping to elevate team performance. • Well-organised and capable of managing priorities to meet deadlines and deliver assigned responsibilities.