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About the Role

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.

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.
Provide operational reporting, severity analysis, reserving reviews, and 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.

Requirements

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.
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.

Skills

SQL
Excel
Data validation
Reporting
Claims analysis
Python
Azure Databricks
Azure SQL
Data Lake Storage
Cloud-based data platforms
Databricks
Synapse
Analytics tools

Location

Remote

Work Type

Full-time

Experience Level

3+ years

About the Company

Vave is a tech insurance company.