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Data Analyst

City Of Westminster, London, United Kingdom, £ £ - Annual Annual, Permanent


Purpose of the job:

Working within the Portfolio Underwriting team to focus on the build and enhancement of data driven products that support the provision of value-adding analytics and insight in respect of pricing, risk selection and portfolio management of insurance products.

Principal Accountabilities:

Portfolio Underwriting Data tooling

To support Portfolio Underwriting in using our data infrastructure as efficiently as possible
To develop and maintain the core Portfolio Underwriting data sets underlying the suite of analytical tools used by the Portfolio Underwriting team
To investigate and lead resolution of emerging issues with underlying Portfolio Underwriting data systems and models as and when these arise
To ensure all Portfolio Underwriting data systems and models are documented in line with company wide standards
Data Ingestion

To investigate opportunities to extract data from non-standard sources (e.g. external, unstructured) as required in order to enhance pricing and portfolio management decisions for the business
To integrate new data sources into our data library including structuring and validation.
Data Visualisation

To support development of data visualisation initiatives including design, build and maintenance ensuring they meet business requirements and user needs.

Identify opportunities to use data science/engineering techniques to extract value from internal/external data assets in order to enrich analytical capabilities

Recommend ways to improve data efficiency and reliability
Increase the degree of automation within the Portfolio Underwriting team's data systems and tools
To investigate new tools that would help the Portfolio Underwriting team store, structure and analyse data.
Education, Qualification, Knowledge, Skills and Experience

We are looking for candidates with:

Experience using languages such as Python and SQL to analyse datasets
Experience building dashboards in a modern BI tool such as Power BI, Looker, Tableau
Understanding of statistical techniques (such as regression, clustering, correlation analysis)
Experience working in cloud native environments (especially GCP) would be plus
The ability to design, implement and use data structures to ensure data is organised effectively and easily consumable by a broader audience
Self-organised, good at documenting and communicating findings and approach
Excellent communicator, able to present findings to both a technical and non-technical audience
Experience of working in the London and Lloyd's insurance markets is desirable but not compulsory

Job Details

Not Specified
City Of Westminster, London, United Kingdom
£ £ - Annual Annual