At a Glance
- Tasks: Analyse and interpret claims data to drive insights and improve decision-making.
- Company: Dynamic tech insurance firm focused on innovation and collaboration.
- Benefits: Competitive salary, health benefits, flexible working, and growth opportunities.
- Other info: Exciting career progression in a fast-paced environment.
- Why this job: Join a team that transforms data into impactful business strategies.
- Qualifications: 3+ years in data analytics, strong SQL and Excel skills required.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking a highly analytical and technically capable Data Analyst to support the development of a data-driven claims function. This role will report directly to the Head of Claims and will work closely with TPAs, and Vave’s Underwriting, Operations, and Technology teams.
The Data Analyst will be responsible for extracting, analysing, reconciling, and interpreting claims data to support operational oversight, reserving discipline, TPA performance, underwriting feedback, and portfolio profitability. The ideal candidate will have strong experience with SQL, Excel, data validation, reporting and claims analysis. This is a hands-on role for someone who can transform data into insight, and help the business make better claims, underwriting, and financial decisions.
Key responsibilities- Analyse claims data from internal systems, TPAs data feeds, bordereaux reports, and data warehouses.
- Use SQL to query claims databases, validate data quality, build recurring extracts, and support ad hoc analysis.
- Work within an Azure Databricks environment, utilising SQL, and Python skills to automate claims analysis and oversight reporting.
- Operational reporting, severity analysis, reserving reviews, claims feedback for underwriting.
- Identify and investigate data quality concerns.
- Translate claims data into clear insights, trends, exceptions, and recommended actions.
- Shape recurring claims management information, dashboards, KPI packs, and executive reporting.
- Track and report on key claim metrics.
- Support the creation of board, capacity partner, underwriting, and actuarial reporting packs.
- Support reserve reviews, loss development analysis, large loss monitoring, data reconciliations, and claims trend analysis.
- Partner with Underwriting to provide claim insights that inform risk selection, pricing, appetite, policy wording, exclusions, endorsement, and portfolio strategy.
- Support development of claims feedback loops that connect loss experience back to underwriting action.
- Support the build-out of claims rules, escalation triggers, severity scoring models and exception reporting.
- Participate in UAT for claims systems, rules engines, dashboards, portals, data feeds, and workflow tools.
- Translate business requirements from Claims into technical data logic, SQL predicates, reporting rules, and test cases.
- 3+ years of experience in data analytics within the financial/insurance sector.
- Ability to work with incomplete, inconsistent, or complex data sources.
- Strong SQL querying and data manipulation skills.
- Advanced Excel and data reconciliation skills.
- Preferred knowledge of any of the following: claims analytics, insurance data analysis, claims operations, actuarial support, underwriting analytics, TPA oversight, or related insurance analytics roles.
- Experience working within Azure Databricks (preferred), using notebooks to analyse and transform data, and leveraging Azure data services such as Azure SQL, Data Lake Storage, and cloud-based data platforms.
- Experience extracting and analysing data from systems or reporting platforms, including Lloyd’s/delegated authority bordereaux.
- Demonstrated ability to analyse complex datasets and present findings in a clear, concise, business-relevant manner.
- Prior experience with a TPA, MGA, MGU, insurance carrier, or reinsurer within a delegated authority business.
- Experience working with Actuarial and Underwriting teams.
- Familiarity with claims bordereaux, delegated authority reporting, capacity partner reporting, or reinsurance reporting.
- Experience with Databricks, Synapse, or similar analytics tools.
- Understanding of claims leakage, severity management, reserve adequacy, litigation trends, fraud indicators, subrogation, and vendor performance.
There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us.
Data Analyst (Tech Insurance Operations) employer: Acrisure, LLC
At our London office, we pride ourselves on fostering a dynamic and inclusive work culture that empowers Data Analysts to thrive. With a strong emphasis on professional development, employees have access to continuous learning opportunities and the chance to collaborate with cross-functional teams, enhancing their skills in a supportive environment. Our commitment to innovation in the tech insurance sector ensures that you will be part of a forward-thinking organisation that values your contributions and encourages meaningful career growth.
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