Data Analyst Contractor – Insurance Data
We are supporting a contract engagement for an experienced Data Analyst specialist to deliver a high-quality reporting and analytics capability within an insurance data environment. The focus of this role is accelerating the delivery of a scalable reporting solution, enabling business users to access reliable, self-service insight through modern BI tools.
This engagement would suit a contractor who enjoys working close to the data, building robust transformation pipelines and translating complex insurance datasets into clear, decision-ready reporting.
The Role
You will take ownership of designing and building a new data transformation and reporting layer, working with live policy and transactional data from a core insurance platform. The output will be a set of trusted datasets and dashboards used across commercial, operational and risk-focused teams.
Key areas include:
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Data extraction and transformation
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Semantic modelling for analytics
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Power BI dataset and dashboard delivery
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Stakeholder collaboration and validation
Key Responsibilities
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Design and develop efficient ETL processes to prepare operational insurance data for analytics
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Model data into a clear and scalable semantic layer suitable for self-service reporting
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Build and optimise Power BI datasets, measures and dashboards
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Translate business reporting needs into reliable technical solutions
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Validate data accuracy and consistency across the reporting pipeline
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Maintain clear documentation and follow disciplined development practices
Essential Experience & Skills
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Advanced SQL capability, including work with complex, highly normalised schemas
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Hands-on experience working with data from core insurance platforms (Acturis would be ideal)
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Strong understanding of insurance data concepts such as policies, transactions, movements and premiums
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Proven Power BI experience, including data modelling and DAX
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Ability to operate autonomously while collaborating with distributed stakeholders
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High attention to detail with a strong focus on data quality and trust
