Claims Data Analyst

Avencia Consulting
London, United Kingdom
3 weeks ago
Applications closed

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Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£1 pa
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (3 weeks ago)

About us

We are recruiting for a new Data Analytics & AI team, pulling expertise from data roles across the company.

This team is designed to be the heart of the business' data use, with business partners and stakeholders across all aspects of the branch. They will work closely with these stakeholders to enable to company with good data practise, assist with reporting, and developing use cases for Data & AI enhancements.

The role

The Claims Data Analyst is responsible for collecting, analysing, and interpreting data from TPAs handling delegated claims across all lines of business to ensure data-driven insights support fair treatment of customers throughout the claims lifecycle, aligning outcomes with company standards and regulatory expectations. This will be across data analytics and building artificial intelligence use cases.

The claims data analyst will support the delivery of advanced analytics and artificial intelligence solutions that provide proactive data analysis and reporting to support the Claims Team. Collaborate with TPAs and internal stakeholders by delivering clear and accurate reporting that enhances the claims experience for customers, clients, and brokers.

Reporting to the Data Analytics & AI Team Lead, this role translates complex business challenges into actionable analytical and AI use cases, ensuring timely and high-quality execution.

The data analyst will foster technical excellence and continuous learning in AI, machine learning, and advanced analytics. They will ensure adherence to governance standards, ethical AI practices, and robust model monitoring to maintain accuracy, fairness, and compliance.

Working closely with cross-functional stakeholders and Subject Matter Experts (SME's) from the business, the data analyst will identify opportunities for predictive analytics, automation, and AI-driven insights, embedding these solutions into business processes. Through effective communication and collaboration, the role ensures insights are actionable and deliver tangible value.

Ultimately, this role combines hands-on business and technical expertise to build and deliver scalable analytics and AI capabilities that support the firm's strategic objectives.

Key accountabilities

  • Lead the delivery of advanced analytics and AI solutions that drive measurable business impact across key functions.
  • Translate business problems into analytical and AI use cases; design and implement models, dashboards, and decision-support tools.
  • Deliver ad hoc data analysis and reporting tasks as required, ensuring outputs are accurate, timely and aligned with business needs.
  • Understand and support data quality, lineage and governance.
  • Where required work to gather, clean, and analyse large data sets across multiple sources.
  • Develop and maintain standards for data analysis, AI model development and experimentation, aligned with enterprise governance and guardrails.
  • Collaborate with cross-functional teams / SME's / TPAs to identify opportunities for predictive analytics, automation, and AI-driven insights.
  • Ensure ethical and responsible use of AI, including bias monitoring and compliance with data governance policies.
  • Foster continuous learning and experimenting in AI, machine learning, and advanced analytics techniques.
  • Monitor performance of AI models and analytics solutions; identify trends, anomalies, and implement improvements to ensure scalability.
  • Communicate insights and recommendations effectively to stakeholders, ensuring integration into business processes.
  • Be seen as a go to support for the business and ensure effective communication into Global Data Analytics & AI Home Office teams
  • Support change management initiatives and contribute to building a culture of data-driven decision-making.

Skills & experience

  • SQL, Snowflake, use of databases, ability to code (python)
  • Knowledge of data management tools and able to handle large datasets
  • Power BI or other visualisation tools
  • Analytical skills and the ability to interpret business information sensibly to ensure accurate and consistent information is always provided
  • Be able to influence opinion to achieve desired outcomes
  • The ability to make sound judgments under pressure
  • Ability to manage change and apply change management principles.
  • Strong planning, organisation, and ability to manage workload under pressure and meet deadlines.
  • Solid understanding of insurance terminology across all lines of business.
  • Strong risk management capabilities, including monitoring of operational controls.
  • Highly numerate with accuracy and attention to detail.
  • Good report writing skills and interpersonal skills.
  • CII Qualification or willingness to study CII or appropriate professional qualification (desirable)

Other

As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one.

If you require support with your application, please get in touch.

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