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Data Analyst (Tech Insurance Operations)
Acrisure
London, GBR
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
SQLAzure DatabricksPythonAzure SQLData Lake StorageDatabricks
Free
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Role Overview
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 Skills for This Role
SQLAzure DatabricksPythonAzure SQLData Lake StorageDatabricks
Full Job Posting
Role Overview
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
- Data Analysis
- 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.
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