Senior Data Analyst – ClaimsAXIS (AXIS Capital) • London, England, United Kingdom
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Senior Data Analyst – Claims
AXIS (AXIS Capital)
- London, England, United Kingdom
- London, England, United Kingdom
À propos
EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.
Job Description In this role, you will support the transformation of claims data into meaningful insights that inform strategic decisions, enhance performance, elevate operational efficiency, and improve customer outcomes. You will deliver timely, accurate, and actionable claims data and insights to stakeholders across the business, primarily supporting the Global Claims function, with opportunities to collaborate with other departments.
Responsibilities
Design and deliver data insights:
Assist report developers to deliver clear, impactful dashboards and reports.
Support the development and maintenance of performance monitoring tools, visualisations, and predictive analytics to enhance claims forecasting, fraud detection, and strategic decision‑making.
Integrate and interpret data from diverse sources across geographies and markets, applying strong subject matter expertise in claims.
Collaborate with stakeholders:
Engage with stakeholders to understand requirements and apply existing knowledge of claims, market practices, and internal systems to develop relevant insights.
Collaborate cross‑functionally to gather both quantitative and qualitative inputs, translating business challenges into meaningful data‑driven solutions.
Share reporting insights with stakeholders in a clear, compelling manner to support improvement in operational processes, performance and financial management.
Shape the future of decision‑making:
Support data transformation initiatives and market‑wide projects, including testing, reporting, and data flow validation.
Collaborate across D&A:
Ensure data quality, consistency, and integrity across all reporting and dashboard outputs.
Support the maintenance of the claims data products, driving innovation and efficiency in reporting and analytics, and suggest improvements for ongoing development.
Additional duties may be assigned as appropriate to the scope and nature of the role.
Qualifications What you need to have:
Experience within Lloyd’s and the London Market with a strong understanding of claims processes, systems, and insurance products.
Familiarity with London Market Bureau processes, Xchanging, Lloyd’s V5 bordereaux and London Market Claims systems is essential.
Able to prepare reports and draft visualisations that support operational decision‑making. Analytical & problem‑solving mindset.
Strong attention to detail.
Effective at building relationships across departments and contributing to cross‑functional initiatives.
Able to manage multiple short and long‑term priorities while aligning with broader business objectives.
Open to taking on new responsibilities and pursuing professional development opportunities.
What we prefer you to have:
Familiarity with data visualisation tools such as Power BI and Tableau is advantageous, though not essential.
Able to identify and escalated potential risks or issues that may impact project delivery or business operations.
Role Factors In this role, you will typically be required to be in the office 3 days per week.
What we offer You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programmes, retirement plans, tuition reimbursement, paid annual leave, and much more.
Seniority Level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Insurance
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Compétences linguistiques
- English
Avis aux utilisateurs
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